目前研究团队承担的科研项目：
(1) 产学研合作项目 1项 (OPPO): 第二期国际标准化技术 (2024年-2026年)；
(2) 第二期陕西省国际科技合作基地 (2022年-2027年);
(3) 国家自然科学基金委员会与韩国国家研究基金会合作交流项目 (2022年-2023年);
(4) 产学研合作项目 1项 (OPPO，优秀合作伙伴): 国际标准化技术 (2021年-2023年)；
(5) 全球性核心人才培养项目 (2019年-2020年)；
(6) 产学研合作项目 1项(华为): 关于新数字媒体技术 (2018年-2019年)；
(7) 国家自然科学基金面向项目: 基于人眼视觉特性的环境光下图像显示自适应增强技术研究 (2019年-2022年)；
(8) 陕西省国际科技合作基地 (2016~2021年, 优秀)；
(9) 西安电子科技大学基本科研业务费：面向智能制造关键技术 (2016~2017年)；
(10) 国家科学自然基金国际合作与交流项目 (2016年)；
(11) 产学研合作项目 1项(中兴, 优秀合作项目): 高动态视频编码技术 (2015年-2016年)；
(12) 产学研合作项目 1项(Samsung SDS): 视频分析技术 (2015年-2016年)；
(13) 产学研合作项目 1项(联咏科技): 关于设备增强技术 (2014年-2015年)；
(14) 国际科技合作专项项目(科技部): 中韩联合研究（西安电子科技大学和成均馆大学；2014年-2020年)；
(15) 国家自然科学基金面向项目: 3DTV中编码效应消除和高质量双目视图生成研究(2013年-2016年)；
(16) “******”项目；
(17) “******”校内科研启动经费；
(18) 产学研合作项目 1项(华为): 关于3DTV视频处理技术 (2012年-2013年)；
(19) 国家自然科学基金国际交流项目 (2011年-2012年)；
Neural Network-Based Video Coding (NNVC)
(1) Learned Image/Video Compresion
1. Yusong Hu, Cheolkon Jung, Yang Liu, Ming Li, "Asymmetric Learned Image Compression Using Fast Residual Channel Attention," Proc. ICPR, 2024 (EI).
2. Zenghui Duan, Cheolkon Jung, Yang Liu, Ming Li, "Learned Image Compression Using a Long and Short Attention Module," Proc. IEEE ICIP, 2024 (EI).
3. Yusong Hu, Cheolkon Jung, Qipu Qin, Jiang Han, Yang Liu and Ming Li, "HDVC: Deep Video Compression with Hyperprior-Based Entropy Coding," IEEE Access, vol. 12, pp. 17541-17551, 2024 (SCI).
(2) Multi-Sensor Video Coding
1. Zhe Ji, Hui Lan, Cheolkon Jung, Dan Zou, and Ming Li, "Saving Bits Using Multi-Sensor Collaboration," IEEE Access, 2023 (SCI).
2. Hui Lan, Zhe Ji, Cheolkon Jung, Dan Zou, and Ming Li, "Multi-Sensor Collaboration Network for Video Compression Based on Wavelet Decomposition," IEEE Transactions on Circuits and Systems for Video Technology, 2022 (SCI).
(3) CNN Filters in VVC
1. Penghao Fu, Cheolkon Jung, Yang Liu, Ming Li, "Progressive Learning Based on QP Distance for Enhancing HOP In-Loop Filter," Proc. ICPR, 2024 (EI).
2. Yunfeng Liu, Cheolkon Jung, "DWT-SALF: Subband Adaptive Neural Network Based In-Loop Filter for VVC Using Cyclic DWT," Proc. ICPR, 2024 (EI).
3. Zhen Feng, Cheolkon Jung, Hao Zhang, Yang Liu, Ming Li, "Low Complexity In-Loop Filter for VVC Based on Convolution and Transformer," IEEE Access, 2024 (SCI).
4. Hao Zhang, Yunfeng Liu, Cheolkon Jung, Yang Liu, Ming Li, "RTNN: A Neural Network-Based In-loop Filter in VVC Using Resblock and Transformer," IEEE Access, vol. 12, pp. 17541-17551, 2024 (SCI).
5. Hao Zhang, Cheolkon Jung, Dan Zou, Ming Li, "WCDANN: A Lightweight CNN Post-Processing Filter for VVC-Based Video Compression," IEEE Access, 2023 (SCI).
6. Hao Zhang, Cheolkon Jung, Yang Liu, Ming Li, "Lightweight CNN-Based In-loop Filter for VVC Intra Coding," Proc. IEEE ICIP, 2023 (EI).
7. Hui Lan, Cheolkon Jung, Yang Liu, Ming Li, "CNN Filter for RPR-Based SR in VVC with Wavelet Decomposition," Proc. IEEE ICASSP, 2023 (EI).
8. Shimin Huang, Cheolkon Jung, Yang Liu, Ming Li, "CNN Filter for Super-Resolution with RPR functionality in VVC," Proc. IEEE ICASSP, 2023 (EI).
9. Zhanyuan Qi, Cheolkon Jung, Yang Liu, and Ming Li, "CNN-Based Post-Processing Filter for Video Compression with Multi-Scale Feature Representation," Proc. IEEE VCIP, 2022 (EI).
Deep Learning for Machine Intelligence
(1) Multispectral Registration and Fusion of RGB and NIR Images
1. Lin Mei, Hao Zhang, Cheolkon Jung, "LDINet: Long Distance Imaging Through RGB and NIR Image Fusion," Proc. ICPR, 2024 (EI).
2. Hao Zhang, Lin Mei, Cheolkon Jung, "Long Range Imaging Using Multispectral Fusion of RGB and NIR Images," Proc. IEEE ICASSP, 2023 (EI).
3. Lu Liu, Fengqiao Wang, Cheolkon Jung, "LRINet: Long range imaging using multispectral fusion of RGB and NIR images," Information Fusion, 2022 (SCI).
4. Lin Mei, Cheolkon Jung, "Low Light Image Enhancement by Multispectral Fusion and Convolutional Neural Networks," Proc. ICPR, 2022 (EI).
5. Qihui Han, Cheolkon Jung, "Deep Selective Fusion of Visible and Near-Infrared Images Using Unsupervised U-Net," IEEE Transactions on Neural Networks and Learning Systems, 2022 (SCI).
6. Cheolkon Jung, Qihui Han, Kailong Zhou, and Yuanquan Xu, "Multispectral Fusion of RGB and NIR Images Using Weighted Least Squares and Convolution Neural Networks," IEEE Open Journal of Signal Processing, 2021.
7. Lin Mei and Cheolkon Jung, "Deep Fusion of RGB and NIR Paired Images Using Convolutional Neural Networks ," Proc. ICPR, 2020 (EI).
8. Zeming Wei, Cheolkon Jung, and Chen Su, "RegiNet: Gradient Guided Multispectral Image Registration Using Convolutional Neural Networks," Neurocomputing, vol. 415, pp. 193-200, 2020 (SCI).
9. Cheolkon Jung, Kailong Zhou, and Jiawei Feng, "FusionNet: Multispectral Fusion of RGB and NIR Images Using Two Stage Convolutional Neural Networks," IEEE Access, vol. 8, pp. 23912-23919, 2020 (SCI)
(2) One (Few) Shot Learning
1. Jiade Liu, Cheolkon Jung, "CFNet: A Coarse-to-Fine Network for Few Shot Semantic Segmentation," Proc. IEEE VCIP, 2022 (EI).
2. Enquan Zhang, Cheolkon Jung, "One Shot Object Detection Via Hierarchical Adaptive Alignment," Proc. IEEE VCIP, 2022 (EI).
(3) 360 Degree Video Processing
1. Qipu Qin, Cheolkon Jung, "Quality Enhancement of Compressed 360 Degree Videos Using Viewport-Based Deep Neural Networks," ACM Transactions on Multimedia Computing Communications and Applications, 2022 (SCI).
(4) Face Generation, Super-resolution & 3D Reconstruction
1. Binghua Xie, Cheolkon Jung, "Deep Face Generation from a Rough Sketch Using Multi-Level Generative Adversarial Networks," Proc. ICPR, 2022 (EI).
3. Yuanquan Xu, Cheolkon Jung, "Face 2D to 3D Reconstruction Network Based on Head Pose and 3D Facial Landmarks," Proc. IEEE VCIP, 2021 (EI).
4. Jonghyun Kim, Gen Li, Cheolkon Jung, Joongkyu Kim, "Progressive Face Super-Resolution with Non-Parametric Facial Prior Enhancement," Proc. IEEE ICIP, 2021 (EI).
5. Jonghyun Kim, Gen Li, Inyong Yun, Cheolkon Jung, and Joongkyu Kim, "Edge and Identity Preserving Network for Face Super-Resolution," Neurocomputing, 2021 (SCI).
(5) Depth Completions & Depth Estimation & Depth Super-Resolution
1. Hui Lan, Cheolkon Jung, "Latent Edge Guided Depth Super-Resolution Using Attention-Based Hierarchical Multi-Modal Fusion," IEEE Access, 2024 (SCI).
2. Zhi Liu, Cheolkon Jung, "Deep Sparse Depth Completion Using Multi-scale Residuals and Channel Shuffle," IEEE Access, 2023 (SCI).
3. Hui Lan, Cheolkon Jung, "DSRNet: Depth Super-Resolution Network Guided by Blurry Depth and Clear Intensity Edges," Signal Processing: Image Communication, vol. 121, 117064, pp. 1-11, 2024 (SCI).
4. Wei Zhao, Cheolkon Jung, Jaekwang Kim, "Deep Sparse Depth Completion Using Multi-Affinity Matrix," IEEE Access, 2023 (SCI).
5. Jiade Liu, Cheolkon Jung, "NNNet: New Normal Guided Depth Completion from Sparse LiDAR Data and Single Color Image," IEEE Access, 2022 (SCI).
6. Xiaolong Liang, Cheolkon Jung, "Selective Progressive Learning for Sparse Depth Completion," Proc. ICPR, 2022 (EI).
7. Xiaolong Liang, Cheolkon Jung, "Deep Cross Spectral Stereo Matching Using Multi-Spectral Image Fusion," IEEE Robotics and Automation Letters, 2022 (SCI). "2022 Outstanding Thesis Award"
8. Xiaolong Liang, Cheolkon Jung, "AGNet: Attention Guided Sparse Depth Completion Using Convolutional Neural Networks," IEEE Access, 2022 (SCI).
9. Zenghui Duan, Cheolkon Jung, "Joint Disparity Estimation and Pseudo NIR Generation from Cross Spectral Image Pairs," IEEE Access, 2021 (SCI).
10. Ying Li, Cheolkon Jung, Jinyoung Kim, "Single Image Depth Estimation Using Edge Extraction Network and Dark Channel Prior," IEEE Access, 2021(SCI)
11. Baoliang Chen, Cheolkon Jung, “Single Depth Image Super-Resolution Using Convolutional Neural Networks,” Proc. IEEE ICASSP, pp. 1473-1477, 2018 (EI)
12. Zhendong Zhang, Cheolkon Jung, “TV-SVM: Support Vector Machine with Total Variational Regularization,” Proc. IEEE ICASSP, pp. 2816-2820, 2018 (EI)
(6) Point Cloud Processing and Applications
1. Yuanquan Xu, Cheolkon Jung, Yakun Chang, "Head Pose Estimation Using Deep Neural Networks and 3D Point Clouds," Pattern Recognition, 2021 (SCI).
2. Yakun Chang, Cheolkon Jung, Yuanquan Xu, "FinerPCN: High Fidelity Point Cloud Completion Network Using Pointwise Convolution," Neurocomputing, 2021 (SCI).
(7) Human Action Recognition
1. Shanmeng Shi, Cheolkon Jung, "Deep Metric Learning for Human Action Recognition with SlowFast Networks," Proc. IEEE VCIP, 2021 (EI).
2. Jonghyun Kim, Gen Li, Inyong Yun, Cheolkon Jung, Joongkyu Kim, "Weakly Supervised Temporal Attention 3D Network for Human Action Recognition," Pattern Recognition, vol. 119, 108068, 2021 (SCI).
(8) Medical Image Analysis
1. Yakun Chang and Cheolkon Jung, "Automatic Cardiac MRI Segmentation and Permutation-Invariant Pathology Classification Using Deep Neural Networks and Point Clouds," Neurocomputing, vol. 418, pp. 270-279, 2020 (SCI).
2. Yakun Chang, Baoyu Song, Cheolkon Jung, and Liyu Huang, “Automatic Segmentation and Cardiopathy Classification in Cardiac MRI Images Based on Fully Convolutional Neural Networks,” Proc. IEEE ICASSP, pp. 1020-1024, 2018 (EI).
(9) Gradient Boosted Decision Trees
1. Zhendong Zhang and Cheolkon Jung, "GBDT-MO: Gradient Boosted Decision Trees for Multiple Outputs," IEEE Transactions on Neural Networks and Learning Systems, 2020 (SCI)
(10) NIR to RGB Domain Translation
1. Tian Sun and Cheolkon Jung, “NIR Image Colorization Using SPADE Generator and Grayscale Approximated Self-Reconstruction,” Proc. IEEE VCIP, 2020 (EI).
2. Fengqiao Wang, Lu Lu, and Cheolkon Jung, “Deep Near Infrared Colorization with Semantic Segmentation and Transfer Learning,” Proc. IEEE VCIP, 2020 (EI).
3. Tian Sun, Cheolkon Jung, Qingtao Fu, and Qihui Han, “NIR to RGB Domain Translation Using Asymmetric Cycle Generative Adversarial Networks,” IEEE Access, vol. 7, pp. 112459-112469, 2019 (SCI).
(11) Artificial Intelligence for Business Security
1. Zhendong Zhang, Cheolkon Jung, and Xiaolong Liang, “Adversarial Defense by Suppressing High-frequency Components,” Proc. IJCAI Workshop - 1st Workshop on Artificial Intelligence for Business Security (AIBS), 2019 (EI).
(12) Multi-Focus Fusion
1. Zicheng Nian, Cheolkon Jung, "CNN-Based Multi-focus Image Fusion with Light Field Data," Proc. IEEE ICIP, pp. 1044-1048, 2019 (EI).
(13) Reflection Removal
1. Hui Lan, Enquan Zhang, Cheolkon Jung, "Face Reflection Removal Network Using Multispectral Fusion of RGB and NIR Images," IEEE Open Journal of Signal Processing, 2023 (SCI).
2. Yakun Chang, Cheolkon Jung, Jun Sun, "Joint Reflection Removal and Depth Estimation from a Single Image," IEEE Transactions on Cybernetics, 2019 (SCI).
3. Yakun Chang, Cheolkon Jung, Jun Sun, Fengqiao Wang, “Siamese Dense Network for Reflection Removal with Flash and No-flash Image Pairs,” International Journal of Computer Vision, 2019 (SCI).
4. Jun Sun, Yakun Chang, Cheolkon Jung, and Jiawei Feng, "Multi-Modal Reflection Removal Using Convolutional Neural Networks," IEEE Signal Processing Letters, vol. 26, no. 7, pp. 1011-1015, 2019 (SCI).
5. Yakun Chang and Cheolkon Jung, “Single Image Reflection Removal Using Convolutional Neural Networks,” IEEE Transactions on Image Processing, vol. 28, no. 4, pp. 1954-1966, 2019 (SCI).
(14) Image Inpainting
1. Qihui Han, Jie Liu and Cheolkon Jung, "Lightweight Generative Network for Image Inpainting Using Feature Contrast Enhancement," IEEE Access, 2022 (SCI).
2. Jie Liu and Cheolkon Jung, "Facial Image Inpainting Using Attention-Based Multi-Level Generative Network," Neurocomputing, vol. 437, pp. 95-106, 2021 (SCI).
3. Jie Liu and Cheolkon Jung, "Facial Image Inpainting Using Multi-level Generative Network," Proc. IEEE ICME, pp. 1168-1173, 2019 (EI).
(15) Image Super-resolution
1. Seongmin Hwang, Juhwan Lee, Cheolkon Jung and Jinyoung Kim, "Attention-Aware Linear Depthwise Convolution for Single Image Super-Resolution," Proc. SMA, 2020 (EI).
2. Zhendong Zhang, Xinran Wang, and Cheolkon Jung, “DCSR: Dilated Convolutions for Single Image Super-Resolution,” IEEE Transactions on Image Processing, vol. 28, no. 4, pp. 1625-1635, 2019 (SCI).
(16) Image Deblocking
1. Binghua Xie, Hao Zhang, Cheolkon Jung, “WCDGAN: Weakly Connected Dense Generative Adversarial Network for Artifact Removal of Highly Compressed Images,” IEEE Access, 2021 (SCI).
2. Zhanyuan Qi, Cheolkon Jung, Binghua Xie, “Subband Adaptive Image Deblocking Using Wavelet Based Convolutional Neural Networks,” IEEE Access, vol. 9, pp. 62593-62601, 2021 (SCI).
3. Cheolkon Jung, Jiawei Feng, Zhu Li, “Gradient Guided Image Deblocking Using Convolutional Neural Networks,” Proc. ACM Multimedia Asia, 2019 (EI).
(17) Image Enhancement
1. Zhe Ji, Cheolkon Jung, "Subband Adaptive Enhancement of Low Light Images Using Wavelet-Based Convolutional Neural Networks," Proc. IEEE ICIP, 2021 (EI).
2. Andrey Ignatov, Radu Timofte, Thang Van Vu, Tung Minh Luu, Trung X. Pham, Cao Van Nguyen, Yongwoo Kim, Jae-Seok Choi, Munchurl Kim, Jie Huang, Jiewen Ran, Chen Xing, Xingguang Zhou, Pengfei Zhu, Mingrui Geng, Yawei Li, Eirikur Agustsson, Shuhang Gu, Luc Van Gool, Etienne de Stoutz, Nikolay Kobyshev, Kehui Nie, Yan Zhao, Gen Li, Tong Tong, Qinquan Gao, Hanwen Liu, Pablo Navarrete Michelini, Dan Zhu, Hu Fengshuo, Zheng Hui, Xiumei Wang, Lirui Deng, Rang Meng, Jinghui Qin, Yukai Shi, Wushao Wen, Liang Lin, Ruicheng Feng, Shixiang Wu, Chao Dong, Yu Qiao, Subeesh Vasu, Thekke Madam Nimisha, Praveen Kandula, A. N. Rajagopalan, Jie Liu, Cheolkon Jung, “PIRM challenge on perceptual image enhancement on smartphones: report,” Proc. ECCV Workshop - Perceptual Image Restoration and Manipulation (PIRM) Workshop and Challenge, pp. 315-333, 2018 (EI).
3. Jie Liu, Cheolkon Jung, “Multiple Connected Residual Network for Image Enhancement on Smartphones,” Proc. ECCV Workshop - Perceptual Image Restoration and Manipulation (PIRM) Workshop and Challenge, pp. 182-196, 2018 (EI).
(18) Stereo Matching
1. Baoliang Chen, Cheolkon Jung, "Patch-Based Stereo Matching Using 3D Convolutional Neural Networks," Proc. IEEE ICIP, pp.
3633-3637, 2018 (EI).
(19) Vitual View Synthesis
1. Lu Liu, Zicheng Nian, Cheolkon Jung, "DCM-CNN: Densely Connected Multiloss Convolutional Neural Networks for Light Field View Synthesis," IEEE Access, 2020 (SCI)
2. Zicheng Nian, Cheolkon Jung, "High-Quality Virtual View Synthesis for Light Field Cameras Using Multi-loss Convolutional Neural Networks," Proc. IEEE ICIP, pp. 2605-2609, 2018 (EI).
(20) Person Re-Identification
1. Jun Sun and Cheolkon Jung, “Unsupervised Person Re-identification Using Reliable and Soft Labels,” Proc. IEEE ICASSP, pp. 1020-1024, 2019 (EI).
2. Zhangping He, Cheolkon Jung, Qingtao Fu, Zhendong Zhang, "Deep Feature Embedding Learing for Person Re-Identification Based on Lifted Structured Loss," Multimedia Tools and Applications, vol. 78, no. 5, pp. 5863-5880, 2019 (SCI)
3. Zhangping He, Cheolkon Jung, Zhendong Zhang, “Deep Feature Embedding Learning for Person Re-Identification Using Lifted Structured Loss,” Proc. IEEE ICASSP, pp. 1957-1961, 2018 (EI)
(21) Representation Learning
1. Zhendong Zhang, Cheolkon Jung, "Recurrent Convolutions: A Model Compression Point of View," Proc. NIPS CDNNRIA Workshop, 2018 (EI).
2. Zhendong Zhang, Cheolkon Jung, “Regularization Neural Networks via Constrained Virtual Movement Field,” Proc. ICLR Workshop, 2018 (EI).
(22) Pedestrian Detection
1. Inyong Yun, Cheolkon Jung, Xinran Wang, Alfred O Hero, and Joongkyu Kim, “Part-Level Convolutional Neural Networks for Pedestrian Detection Using Saliency and Boundary Box Alignment,” IEEE Access, vol. 7, pp. 23027–23037, 2019 (SCI)
2. Xinran Wang, Cheolkon Jung, Alfred O Hero, “Part-Level Fully Convolutional Networks for Pedestrian Detection,” Proc. IEEE ICASSP, pp. 2267-2271, 2017 (EI).
(23) Object Tracking
1. Miaobin Cen, Cheolkon Jung, "Fully Convolutional Siamese Fusion Networks for Object Tracking," Proc. IEEE ICIP, pp. 3718-3722, 2018 (EI).
2. Zhangping He, Zhendong Zhang, Cheolkon Jung, "Fast Fourier Transform Networks for Object Tracking Based on Correlation Filter," IEEE Access, vol. 6, pp. 6594-6601, 2018 (SCI)
3. Miaobin Cen, Cheolkon Jung, "Complex Form of Local Orientation Plane for Visual Object Tracking," IEEE ACCESS, vol. 5, pp. 21597-21604, 2017 (SCI) "2018 Outstanding Thesis Award"
4. Miaobin Cen, Cheolkon Jung, "Comp-LOP: Complex Form of Local Orientation Plane for Object Tracking," Proc. IEEE ICIP, pp. 650-654, 2017 (EI).
Sensor Fusion
(1) NIR Colorization
1. Qingtao Fu, Cheolkon Jung, Chen Su, “Color Recovery from Multi-Spectral NIR Images Using Gray Information,” Proc. ACM Multimedia Asia, 2019 (EI).
(2) Multimodal Fusion of RGB and Depth Images
1. Junxue Zheng, Cheolkon Jung, “Multispectral and Multimodal Image Registration Based on a Dynamic Fusion Index," Proc. IEEE ISCAS, 2022 (EI)
2. Shengtao Yu, Hui Lan, Cheolkon Jung, “Intensity Guided Depth Upsampling Using Edge Sparsity and Super-Weighted $L_0$ Gradient Minimization,” IEEE Access, vol. 7, pp. 140553-140565, 2019 (SCI)
(3) Multispectral Fusion of RGB and NIR Images
1. Haonan Su, Cheolkon Jung, Long Yu, “Multi-Spectral Fusion and Denoising of Color and Near-Infrared Images Using Multi-Scale Wavelet analysis," Sensors, vol. 21, no. 11, 3610, 2021 (SCI).
2. Kailong Zhou, Cheolkon Jung, Shengtao Yu, "Scale-Aware Multispectral Fusion of RGB and NIR Images Based on Alternating Guidance," IEEE Access, 2020 (SCI).
3. Junxue Zheng, Cheolkon Jung, Shentao Yu, "Low Light Image Enhancement by Multispectral Fusion of RGB and NIR Images," Proc. IEEE ICIP, 2020 (EI).
4. Kailong Zhou, Cheolkon Jung, "Multispectral Fusion of RGB and NIR Images Using Weighted Least Squares and Alternating Guidance," Proc. IEEE ICASSP, pp 1489-1493, 2020 (EI).
5. Shengtao Yu, Cheolkon Jung, Kailong Zhou, Chen Su, “RSC-DGS: Fusion of RGB and NIR Images Using Robust Spectral Consistency and Dynamic Gradient Sparsity,” Proc. ACM Multimedia Asia, 2019 (EI).
6. Haonan Su, Cheolkon Jung, “Multi-spectral Fusion and Denoising of RGB and NIR Images Using Multi-scale Wavelet Analysis,” Proc. ICPR, pp. 1779-1784, 2018 (EI).
(4) Stereo and Depth Image Fusion
1. Yiwei Wang, Cheolkon Jung, Inyong Yun, Joongkyu Kim, “SPFEMD: Super-Pixel Based Finger Earth Mover\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\'s Distance for Hand Gesture Recognition,” Proc. IEEE ICASSP, 2019 (EI).
2. Baoliang Chen, Cheolkon Jung, Zhendong Zhang, "Variational Fusion of Time-of-Flight and Stereo Data for Depth Estimation Using Edge Selective Joint Filtering," IEEE Transactions on Multimedia, vol. 20, no. 11, pp. 2882-2890, 2018 (SCI). "2018 Outstanding Thesis Award"
3. Yiwei Wang, Cheolkon Jung, "Interaction-Free Hand Segmentation Using Kinect Camera," Proc. IEEE ICIP, pp. 4593-4593, 2017 (EI).
4. Baoliang Chen, Cheolkon Jung, Zhendong Zhang, "Variational Fusion of Time-of-Flight and Stereo Data Using Edge Selective Joint Filtering," Proc. IEEE ICIP, pp. 1437-1441, 2017 (EI).
Perceptual Video Coding and H.265
(1) H.265 and Perceputal Video Coding
1. Qingtao Fu, Cheolkon Jung, Qiaozhou Lin, "Perceptually Motivated Fast CU Size Decision for HEVC Intra Coding Based on Visual Regularity," Journal of Electronic Imaging, 2018 (SCI)
2. Cheolkon Jung, Qingtao Fu, Fei Xue, "Perceptual Stereoscopic Video Coding Using Disparity Just-Noticeable-Distortion Model," Journal of Visual Communication and Image Representation, 2017 (SCI)
3. Cheolkon Jung, Fei Xue, Joongkyu Kim, “Perceptual Stereo Video Coding Based on Depth-of-Focus Blur Effects,” ISO/IEC JTC1/SC29/WG11 MPEG2016/M38375, 2016, Geneva, Switzerland.
4. Fei Xue, Cheolkon Jung, Joongkyu Kim, "Disparity-Based Just-Noticeable-Difference Model for Perceptual Stereoscopic Video Coding Using Depth of Focus Blur Effect," Displays, Vol. 42, pp. 43-50, 2016 (SCI)
5. Cheolkon Jung, Yao Chen, "Perceptual Rate Distortion Optimization for Video Coding Using Free-Energy Principle," IET Electronics Letters, Vol. 51, No. 2, pp. 1656-1658, 2015 (SCI) "2016 Outstanding Thesis Award"
6. Cheolkon Jung, Yao Chen, Qiaozhou Lin, "Perceptual Block Merging for Quadtree-Based Partitioning in HEVC Using Disorderly Concealment Effect," Proc. IEEE VCIP, 2015 (EI)
7. Fei Xue, Cheolkon Jung, “Chrominance Just-Noticeable-Distortion Model Based on Human Color Perception,” IET Electronics Letters, Vol. 50, No. 22, pp. 1587-1589, 2014 (SCI) "2015 Outstanding Thesis Award"
(2) HDR/WCG Video Coding
1. Yi Liu, Naty Sidaty, Wassim Hamidouche, Olivier Deforges, Cheolkon Jung, "Visual Attention-aware High Dynamic Range Quantization for HEVC Video Coding," IEEE Transactions on Circuits and Systems for Video Technology, 2021 (SCI).
2. Qingtao Fu, Cheolkon Jung, Ge Yang, Yi Liu, "Weighted Chroma Downsampling and Luma-Referenced Chroma Upsampling for HDR/WCG Video Coding," IEEE Access, 2019 (SCI).
3. Shengtao Yu, Cheolkon Jung, "Adaptive Perceptual Quantizer for High Dynamic Range Video Compression," Journal of Visual Communication and Image Representation, vol. 58, pp. 25-36, 2019 (SCI).
4. Qingtao Fu, Cheolkon Jung, Ge Yang, "Weighted Chroma Downsampling and Luma-Referenced Chroma Upsampling for HDR/WCG Video Coding," Proc. IEEE ICIP, 2018 (EI).
5. Shengtao Yu, Cheolkon Jung, and Qiaozhou Lin, "HEVC Encoder Optimization for HDR Video Coding Based on Irregularity Concealment Effect," Signal Processing: Image Communication, 2018 (SCI)
6. Qingtao Fu, Cheolkon Jung, Ge Yang, “Adaptive Quantization-Based HDR Video Coding with HEVC Main 10 Profile,” Proc. IEEE ISM, 2017 (EI)
7. Cheolkon Jung, Qiaozhou Lin, Shengtao Yu, “HEVC Encoder Optimization for HDR Video Coding Based on Perceptual Block Merging,” Proc. IEEE VCIP, 2016 (EI) "2017 Outstanding Thesis Award"
8. Qiaozhou Lin, Cheolkon Jung, “Backward Compatible Opto-Electrical Transfer Function for HDR Video CodinBased on Rational Quantization,” Proc. IEEE VCIP, 2016 (EI)
9. Shengtao Yu, Cheolkon Jung, “Adaptive PQ: Adaptive Perceptual Quantizer for HEVC Main 10 Profile-Based HDR Video Coding,” Proc. IEEE VCIP, 2016 (EI)
10. Cheolkon Jung, Shengtao Yu, Long Yu, Ming Li, Ping Wu, “Adaptive Perceptual Quantizer for HDR Video Coding,” ISO/IEC JTC1/SC29/WG11 JCTVC-X0063, 2016, Geneva, Switzerland.
11. Cheolkon Jung, Qiaozhou Lin, Shengtao Yu, Ming Li, Ping Wu, “Backward Compatible Opto-Electrical Transfer Function for HDR Video Coding Based on Rational Quantization,” ISO/IEC JTC1/SC29/WG11 JCTVC-X0064, 2016, Geneva, Switzerland.
12. Cheolkon Jung, Qiaozhou Lin, Shengtao Yu, “HEVC Encoder Optimization Based on Perceptual Block Merging,” ISO/IEC JTC1/SC29/WG11 JCTVC-X0070, 2016, Geneva, Switzerland.
13. Cheolkon Jung, Shengtao Yu, Peng Ke, Ming Li, and Ping Wu, “Adaptive PQ: Adaptive Perceptual Quantizer for HDR video Coding with HEVC Main 10 Profile,” ISO/IEC JTC1/SC29/WG11/M37706, 2016 (Sandiego)
14. Cheolkon Jung, Qingtao Fu, Ge Yang,Ming Li, Ping Wu, “Adaptive Quantization-Based HDR video Coding with HEVC Main 10 Profile,” ISO/IEC JTC1/SC29/WG11/M37703, 2016 (Sandiego)
15. Cheolkon Jung, Shengtao Yu, Qiaozhou Lin, Ming Li, Ping Wu, “Optimization of HEVC Main 10 coding in HDR videos Based on Disorderly Concealment Effect,” ISO/IEC JTC1/SC29/WG11/M37701, 2016 (Sandiego)
16. Cheolkon Jung, Yao Chen, Qiaozhou Lin, Ming Li, Ping Wu, "Optimization of HEVC Main 10 Coding in HDR Videos Using Perceptual Block Merging," ISO/IEC JTC1/SC29/WG11 MPEG2015/M37073, 2015 (Geneva)
(3) Blocking Artifact Reduction
1. Cheolkon Jung, Licheng Jiao, Hongtao Qi, Tian Sun, “Image deblocking via sparse representation,” Signal Processing: Image Communication, Vol. 27, No. 6, pp. 663-677, 2012 (SCI) "ScienceDirect Top25 Hottest Articles"
2. Cheolkon Jung, Licheng Jiao, Bing Liu, Hongtao Qi, Tian Sun, “Toward high-quality image communications: inverse problems in image processing,” Optical Engineering, Vol. 51, No. 10, 100901, 2012 (SCI).
3. Cheolkon Jung, Licheng Jiao, “Ringing artifact reduction of JPEG images using a SGLI prior,” Proc. IEEE MLSP, 2011 (EI).
Computational Photography & Display Enhancement
(1) Light Field Depth Estimation
1. Qihui Han, Cheolkon Jung, “Guided Filtering Based Data Fusion for Light Field Depth Estimation with $L_{0}$ Gradient Minimization,” Journal of Visual Communication and Image Representation, 2018 (SCI)
2. Qiuxia Hou, Cheolkon Jung, “Occlusion Robust Light Field Depth Estimation Using Segmentation Guided Bilateral Filtering,” Proc. IEEE ISM, 2017 (EI)
(2) Low Light Image Enhancement
1. Haonan Su, Long Yu, Cheolkon Jung, "Joint Contrast Enhancement and Noise Reduction of Low Light Images Via JND Transform," IEEE Transactions on Multimedia, 2020 (SCI).
2. Long Yu, Haonan Su, Cheolkon Jung, "Joint Enhancement and Denoising of Low Light Images Via JND Transform," Proc. IEEE ICASSP, 2020 (EI).
3. Qingtao Fu, Cheolkon Jung, Kaiqiang Xiu, "Retinex-Based Perceptual Contrast Enhancement in Images Using Luminance Adaptation," IEEE Access, 2018 (SCI).
4. Qi Yang, Cheolkon Jung, Qingtao Fu, Hyoseob Song, "Low Light Image Denoising Based on Poisson Noise Model and Weighted TV Regularization," Proc. IEEE ICIP, 2018 (EI).
5. Yakun Chang, Cheolkon Jung, Peng Ke, Hyoseob Song, Jungmee Hwang, “Automatic Contrast Limited Adaptive Histogram Equalization with Dual Gamma Correction,” IEEE Access, 2018 (SCI)
6. Cheolkon Jung, “Low Light Image Enhancement,” Proc. IPIU, 2018.
7. Haonan Su, Cheolkon Jung, “Perceptual Enhancement of Low Light Images Based on Two-Step Noise Suppression,” IEEE Access, 2017 (SCI)
8. Tingting Sun, Cheolkon Jung, Peng Ke, Hyoseob Song, Jungmee Hwang, “Readability Enhancement of Low Light Videos Based on Discrete Wavelet Transform,” Proc. IEEE ISM, 2017 (EI)
9. Kaiqiang Xu, Cheolkon Jung, “Retinex-Based Perceptual Contrast Enhancement in Images Using Luminance Adaptation,” Proc. IEEE ICASSP, pp. 1363-1367, 2017 (EI).
10. Haonan Su, Cheolkon Jung, “Low Light Image Enhancement Based on Two-Step Noise Suppression,”Proc. IEEE ICASSP, pp. 1977-1981, 2017 (EI).
11. Cheolkon Jung, Qi Yang, Tingting Sun, Qingtao Fu, Hyoseob Song, “Low Light Image Enhancement with Dual-Tree Complex Wavelet Transform,” Journal of Visual Communication and Image Representation, Vol. 47, pp. 28-36, 2017 (SCI) "2017 Outstanding Thesis Award"
(3) Adaptive Smoothing
1. Zhengdong Zhang, Cheolkon Jung, “Structure Tensor-Based WLS Filter for Adaptive Smoothing,” Proc. IEEE VCIP, 2016 (EI)
(4) Tone Mapping
1. Long Yu, Haonan Su, Cheolkon Jung, “Perceptually Optimized Enhancement of Contrast and Color in Images,” IEEE Access, 2018 (SCI)
2. Cheolkon Jung, Kaiqiang Xu, "Naturalness-Preserved Tone Mapping in Images Based on Perceptual Quantization," Proc. IEEE ICIP, 2017 (EI)
3. Lu Wang, Cheolkon Jung, “Surrounding Adaptive Tone Mapping in Displayed Images under Ambient Light,” Proc. IEEE ICASSP, pp. 1992-1996, 2017 (EI)
4. Yakun Chang, Cheolkon Jung, “Perceptual Contrast Enhancement of Dark Images Based on Textural Coefficients,” Proc. IEEE VCIP, 2016 (EI)
5. Lu Wang, Cheolkon Jung, “Tone-Preserving Contrast Enhancement in Images Using Rational Tone Mapping and Constrained Optimization,” Proc. IEEE VCIP, 2016 (EI)
6. Cheolkon Jung, Tingting Sun, "Optimized Perceptual Tone Mapping for Contrast Enhancement of Images," IEEE Transactions on Circuits and Systems for Video Technology, 2016 (SCI)
7. Tingting Sun, Cheolkon Jung, "Readability Enhancement of Low light Images Based on Dual-Tree Complex Wavelet Transform," Proc. IEEE ICASSP, 2016 (EI)
(5) Display Enahncement
1. Haonan Su, Cheolkon Jung, Lu Wang, Shuyao Wang, and Yuanjia Du, "Adaptive Tone Mapping for Display Enhancement under Ambient Light Using Constrained Optimization," Displays, 2019 (SCI).
2. Haonan Su, Cheolkon Jung, Shuyao Wang, Yuanjia Du, "Readability Enhancement of Displayed Images Under Ambient Light," IEEE Transactions on Circuits and Systems for Video Technology, 2017 (SCI)
3. Cheolkon Jung, Haonan Su, Lu Wang, Peng Ke, "Power Constrained Contrast Enhancement Based on Brightness Compensated Contrast-Tone Mapping Operation," Journal of Electronic Imaging, Vol. 25, No. 5, 053027, 2016 (SCI)
4. Xiaoke Wang, Cheolkon Jung, “Backlight Scaled Contrast Enhancement for Liquid Crystal Displays Using Image Key-Based Compression,” Proc. IEEE VCIP, 2016 (EI)
5. Haonan Su, Cheolkon Jung, Shuyao Wang, Yuanjia Du, "Adaptive Enhancement of Luminance and Details in Images Under Ambient Light," Proc. IEEE ICASSP, 2016 (EI)
6. Cheolkon Jung, Lu Wang, "Power-Constrained Backlight Scaling Using Brightness Compensated Contrast-Tone Mapping Operation," Proc. IEEE VCIP, 2015 (EI)
7. Cheolkon Jung, Zengtao Xia, “Perceptual Backlight Scaling for Low Power Liquid Crystal Displays Based on Visual Saliency,” Proc. IEEE ICIP, 2015 (EI)
(6) Interactive Foreground Extraction
1. Meng Jian, Lifang Wu, Cheolkon Jung, Qingtao Fu, Ting Jia, "Visual Saliency Estimation Using Constraints," Neurocomputing, 2018 (SCI)
2. Meng Jian, Cheolkon Jung, "Interactive ImageSegmentation Using Adaptive Constraint Propagation," IEEE Transactions on Image Processing, 2016 (SCI)
3. Xiaoliang Tian, Cheolkon Jung, “Visual Saliency Estimation Through Label Propagation,” IET Electronics Letters, Vol. 51, No. 14, pp. 1073-1075, 2015 (SCI)
4. Xiaoliang Tian, Cheolkon Jung, “Point-Cut: Fixation Point-Based Image Segmentation Using Random Walk Model,” Proc. IEEE ICIP, 2015 (EI)
5. Cheolkon Jung, Meng Jian, Juan Liu, Licheng Jiao, Yanbo Shen, "Interactive Image Segmentation Via Kernel Propagation," Pattern Recognition, Vol. 47, No. 8, pp. 2745-2755, 2014 (SCI)
(7) High Dynamic Range Imaging
1. Cheolkon Jung, Xiaoke Wang, "Detail-Preserving Tone Mapping for Low Dynamic Range Displays with Adaptive Gamma Correction," Proc. IEEE VCIP, 2015 (EI)
2. Peng Ke, Cheolkon Jung, Ying Fang, “Perceptual Multi-exposure Image Fusion with Overall Image Quality Index and Local Saturation,” Mutimedia Systems, 2015 (SCI) "2016 Outstanding Thesis Award"
3. Cheolkon Jung, Ying Fang, Licheng Jiao, “High Dynamic Range Image Rendering Using Hybrid Tone Mapping and Automatic K Factor Decision,” Journal of Electronic Imaging, Vol. 22, No. 3, 033001, 2013 (SCI) "2014 Outstanding Thesis Award"
4. Cheolkon Jung, Yanru Yang, Licheng Jiao, “High dynamic range imaging on mobile devices using fusion of multi-exposure images,” Optical Engineering, Vol. 52, No. 10, 102004, 2013 (SCI)
(8) Specularity Removal in Color Images
1. Cheolkon Jung, Licheng Jiao, Hongtao Qi, Yanru Yang, “Specularity removal based on reflection component separation and joint bilateral filtering,” Optical Engineering, Vol. 51, No. 10, 107005, 2012 (SCI).
2. Cheolkon Jung, Licheng Jiao, Hongtao Qi, “Specular highlight removal using reflection component separation and joint bilateral filtering,” Lecture Notes in Computer Science (IscIDE 2011), Vol. 7202, pp. 513-521, 2012 (EI).
Multimedia Semantics and Retrieval
(1) Semantic Multimedia Information Retrieval
1. Meng Jian, Cheolkon Jung, Yanbo Shen, Juan Liu, "Interactive Image Retrieval Using Constraints," Neurocomputing, Vol. 161, pp. 210-219, 2015 (SCI)
(2) Ensemble Learning & Its Applications
1. Cheolkon Jung, Yanbo Shen, Licheng Jiao, "Learning to Rank with Ensemble Ranking SVM," Neural Processing Letters, Vol. 42, No. 3, pp. 703-714, 2015 (SCI).
2. Cheolkon Jung, Licheng Jiao, Yanbo Shen, “Ensemble ranking SVM for learning to rank,” Proc. IEEE MLSP, 2011 (EI).
(3) Semi-Supervised Learning & Its Applications
1. Meng Jian, Cheolkon Jung, "Semi-Supervised Kernel Matrix Learning Using Adaptive Constraint-Based Seed Propagation," Pattern Recognition, vol. 112, 107750, 2021 (SCI)
2. Meng Jian, Cheolkon Jung, "Semi-supervised Bi-dictionary Learning for Image Classification with Smooth Representation-Based Label Propagation," IEEE Transactions on Multimedia, Vol. 18, No. 3, pp. 458-473, 2016 (SCI)
3. Meng Jian, Cheolkon Jung, "Semi-supervised Bi-dictionary Learning Using Smooth Representation-Based Label Propagation," Proc. CyberC, pp. 239-242, 2015 (EI)
4. Meng Jian, Cheolkon Jung, Yanbo Shen, Licheng Jiao, Juan Liu, "Adaptive Constraint Propagation for Semi-Supervised Kernel Matrix Learning," Neural Processing Letters, Vol. 41, No. 1, pp. 107-123, 2015 (SCI)
5. Meng Jian, Cheolkon Jung, Yaoguo Zheng, "Discriminative Structure Learning for Semantic Concept Detection with Graph em[ant]bedding," IEEE Transactions on Multimedia, Vol. 16, No. 2, pp. 413-426, 2014 (SCI)
6. Cheolkon Jung, Juan Liu, Tian Sun, Licheng Jiao, Yanbo Shen, “Automatic Image Segmentation Using Constraint Learning and Propagation,” Digital Signal Processing, Vol. 24, No. 1, pp. 106-116, 2014 (SCI).
7. Cheolkon Jung, Licheng Jiao, Juan Liu, Yanbo Shen, “Image segmentation via manifold spectral clustering,” Proc. IEEE MLSP, 2011 (EI).
(4) Kernel Sparse Representation Based Classification
1. Meng Jian, Cheolkon Jung, “Class-discriminative kernel sparse representation-based classification using multi-objective optimization,” IEEE Transactions on Signal Processing, Vol. 61, No. 18, pp. 4416-4417, 2013 (SCI).
(5) Image Steganography and Fingerprinting
1. Lihui Cao, Cheolkon Jung, "Combining Visual Saliency and Pattern Masking for Image Steganography," Proc. CyberC, pp. 320-323, 2015 (EI).
2. Cheolkon Jung, Lihui Cao, "Randomized Ring-Partition Fingerprinting with Dithered Lattice Vector Quantization," Proc. CyberC, pp. 100-103, 2015 (EI).
Stereoscopic 3D Video Processing
(1) Stereo-Plus-Depth Imaging System
1. Kailong Zhou, Shengtao Yu, Cheolkon Jung, “Alternately Guided Depth Super-Resolution Using Weighted Least Squares and Zero-Order Reverse Filtering,” Proc. IEEE ICASSP, 2019 (EI).
2. Shengtao Yu, Cheolkon Jung, "Intensity-Guided Depth Upsampling Using Edge Sparsity and Weighted L0 Gradient Minimization," Proc. IEEE ICIP, 2018 (EI).
3. Inyong Yun, Cheolkon Jung, Joongkyu Kim, "Stereo-Plus-Depth Imaging System," Proc. IEEE ICIP, 2017 (EI)
4. Cheolkon Jung, Shengtao Yu, Joongkyu Kim, “Intensity-Guided Edge-Preserving Depth Upsampling through Weighted L0 Gradient Minimization,” Journal of Visual Communication and Image Representation, Vol. 42, pp. 132-144, 2017 (SCI)
5. Inyong Yun, Cheolkon Jung, Joongkyu Kim, “Accurate Depth Image Acquistion by Combining Kinect and Stereo Cameras,” Proc. ICEIC 2017, 2017 (EI)
(2) Visual Comfort Assessment and Enhancement
1. Cheolkon Jung, Lihui Cao, Hongmin Liu, Joongkyu Kim, “Visual comfort enhancement in stereoscopic 3D images using saliency-adaptive nonlinear disparity mapping,” Displays, 2015 (SCI) "2016 Outstanding Thesis Award"
2. Cheolkon Jung, Hongmin Liu, Yu Cui, “Visual Comfort Assessment for Stereoscopic 3D Images Based on Salient Discomfort Regions,” Proc. IEEE ICIP, 2015 (EI)
3. Cheolkon Jung, Shuai Wang, “Visual comfort assessment in stereoscopic 3D images using salient object disparity,” IET Electronics Letters, Vol. 51, No. 6, pp. 482-484, 2015 (SCI) "Feature Article"
(3) Stereo Matching
1. Inyong Yun, Seokhoon Boo, Cheolkon Jung, Joongkyu Kim, "Moment-Based Dense Correspondence Matching Robust to Image Variation," Proc. IEEE ISM, 2017 (EI)
2. Cheolkon Jung, Xufeng Chen, Jiji Cai, Haozhen Lei, Inyong Yun, and Joongkyu Kim, “Boundary-Preserving Stereo Matching with Certain Region Detection and Adaptive Disparity Adjustment,” Journal of Visual Communication and Image Representation, Vol. 31, pp. 14-25, 2015 (SCI) "2016 Outstanding Thesis Award"
3. Haozhen Lei, Cheolkon Jung, “Reliability-Based Discontinuity-Preserving Stereo Matching,” IEEE Transactions on Circuits and Systems for Video Technology, Vol. 26, No. 10, pp. 1970-1975, 2016 (SCI)
(4) 2D to 3D Conversion
1. Inyong Yun, Byunghyun Kwon, Cheolkon Jung, Joongkyu Kim, "Bi-Directional Depth Propagation for 2D-to-3D Conversion with Color/Depth-Based Superpixel Segmentation," Proc. ICEIC, 2019 (EI)
2. Jiji Cai, Liang Chang, Hongbin Wang, Cheolkon Jung, Joongkyu Kim, “Boundary-Preserving Depth Upsampling without Texture Copying artifacts and Holes,” Proc. IEEE ISM, 2017 (EI)
3. Jiji Cai, Cheolkon Jung, "Image-Guided Depth Propagation for 2D-to-3D Video Conversion Using Superpixel Matching and Adaptive Autoregressive Model," Journal of Electronic Imaging, 2017 (SCI)
4. Tian Sun, Cheolkon Jung, Lei Wang, Joongkyu Kim, “Rapid Learning-Based Video Stereolization Using GPU Acceleration,” Journal of Electronic Imaging, Vol. 25, No. 5, 053021, 2016 (SCI)
5. Shengtao Yu, Cheolkon Jung, Joongkyu Kim, “Color-Guided Boundary-Preserving Depth Upsampling Based on L0 Gradient Minimization,” Proc. IEEE VCIP, 2016 (EI)
6. Cheolkon Jung, Jiji Cai, "Joint Geodesic Depth Propagation for 2D-to-3D Video Conversion,“ Journal of Electronic Imaging, Vol. 50, No. 1, 013030, 2016 (SCI).
7. Jiji Cai, Cheolkon Jung, "Image-Guided Depth Propagation Using Superpixel Matching and Adaptive Autoregressive Model," Proc. IEEE VCIP, 2015 (EI)
8. Cheolkon Jung, Jiji Cai, “Superpixel Matching-Based Depth Propagation for 2D-TO-3D Conversion with Joint Bilateral Filtering,” Proc. IEEE ICIP, 2015 (EI) "2016 Outstanding Thesis Award"
9. Lei Wang, Cheolkon Jung, "Example Based Video Stereolization with Foreground Segmentation and Depth Propagation," IEEE Transactions on Multimedia, Vol. 16, No. 7, pp. 1905-1914, 2014 (SCI).
10. Cheolkon Jung, Lei Wang, Xiaohua Zhu, Licheng Jiao, "2D to 3D Conversion with Motion-Type Adaptive Depth Estimation," Multimedia Systems, Vol. 21, No. 5, pp. 451-464, 2015 (SCI).
11. Cheolkon Jung, Xiaohua Zhu, Lei Wang, Tian Sun, Mingchen Han, Biao Hou, Licheng Jiao, "2D to 3D Conversion in 3DTV Using Depth Map Generation and Virtual View Synthesis," Proceedings of International Conference on Multimedia Technology, 2013 (EI).
(5) Depth-Image-Based Rendering (DIBR)
1. Yiguo Qiao, Cheolkon Jung, “Dictionary based hole filling with assistance of depth,” Proc. IEEE ICME, 2014 (EI).
2. Cheolkon Jung, Licheng Jiao, “Disparity-map-based rendering for mobile 3D TVs,” IEEE Transactions on Consumer Electronics, Vol. 57, No. 3, pp. 1171-1175, 2011 (SCI).
3. Cheolkon Jung, Licheng Jiao, Youngjin Oh, Joongkyu Kim, “Depth-preserving DIBR based on disparity map over T-DMB,” Electronics Letters, Vol. 46, No. 9, pp. 628-629, 2010 (SCI).
4. Cheolkon Jung, Licheng Jiao, “Reliable depth-image-based rendering using parameter approximation in mobile devices,” IEICE Electronics Express, Vol. 7, No. 10, pp. 666-671, 2010 (SCI).
(6) High-quality Stereoscopic View Generation
1. Cheolkon Jung, Hongtao Qi, Zengzeng Sun, Licheng Jiao, "Three Dimensional Dictionary Based Deblocking for High-Quality Stereoscopic View Generation," Journal of Electronic Imaging, Vol. 22, No. 4, 043023, 2013 (SCI).
2. Cheolkon Jung, Licheng Jiao, Hongtao Qi, "Blocking artifact reduction in DIBR using an overcomplete 3D dictionary," Lecture Notes in Computer Science (MMM 2013), Vol. 7732, pp. 283–294, 2013 (EI).
(7) Prototype Design of Glasses-free Mobile 3DTV
1. Cheolkon Jung, Licheng Jiao, 3D DMB pla[ant]yer and its reliable 3D services in T-DMB systems, Chapter 23 in Depth Map and 3D Imaging Applications: Algorithms and Technologies, IGI Global, pp. 434-450, 2012.
2. Sunghyun Choi, Cheolkon Jung, Suyoung Lee, Joong Kyu Kim, Kwanghee Jung, Gwangsoon Lee, Namho Hur, Jin Woong Kim, “3D DMB pla[ant]yer and its realistic 3D services over T-DMB,” Proc. of IEEE ISM 2009, pp. 440-441, 2009 (EI).
Image Restoration Tasks: Superresolution, Deringing, Denoising
(1) Bayesian Deringing & Denoising Technology
1. Cheolkon Jung, Tian Sun, Aiguo Gu, “Content Adaptive Video Denoising Based on Human Visual Perception,” Journal of Visual Communication and Image Representation, Vol. 31, pp. 14-25, 2015 (SCI).
2. Cheolkon Jung, Licheng Jiao, “Novel Bayesian deringing method in image interpolation and compression using a SGLI prior,” Optics Express, Vol. 18, No. 7, pp. 7138-7149, 2010 (SCI).
3. Cheolkon Jung, Licheng Jiao, Maoguo Gong, “\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\'\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\'Bayesian image denoising using two complementary discontinuity measures,” IET Image Processing, Vol. 6, No. 7, pp. 932-942, 2012 (SCI).
4. Cheolkon Jung, Licheng Jiao, Hyungseok Kim, Joongkyu Kim, “Spatial-gradient-local- inhomogeniety: an efficient image denoising prior,” Journal of Electronic Imaging, Vol. 19, No. 3, 033005, 2010 (SCI)
(2) Face Super-resolution Using Convex Optimization
1. Cheolkon Jung, Licheng Jiao, Bing Liu, Maoguo Gong, “Position-patch based face hallucination using convex optimization,” IEEE Signal Processing Letters, Vol. 18, No. 6, pp. 367-370, 2011 (SCI).
(3) Image Super-resolution
1. Cheolkon Jung, Aiguo Gu, “Curvature Preserving Image Super-resolution with Gradient-Consistency-Anisotropic-Regularization Prior,” Signal Processing: Image Communication, Vol. 29, No. 10, pp. 1211-1222, 2014 (SCI).
2. Aiguo Gu, Cheolkon Jung, “Content adaptive image superresolution with gradient consistency and anisotropic regularization,” Proc. IEEE ICME, 2014 (EI).
3. Cheolkon Jung, Junwei Ju, Licheng Jiao, Yanru Yang, “Enhancing dictionary-based super-resolution using nonlocal total variation regularization,” Optical Engineering, Vol. 52, No. 1, 2013 (SCI). "2013 Outstanding Thesis Award"
4. Cheolkon Jung, Junwei Ju, “Improving dictionary-based image super-resolution with nonlocal total variation regularization,” Proc. IEEE ISCAS 2013, pp. 1207-1211, 2013 (EI).
(4) Parallel Computing for Real-Time Image Processing
1. Cheolkon Jung, Peng Ke, Zengzeng Sun, Aiguo Gu, "A Fast Deconvolution-Based Approach for Single Image Super-resolution with GPU Acceleration," Journal of Real-Time Image Processing, 2015 (SCI) "2012 NVIDIA CUDA Acceleration Contest Award"
2. Zengzeng Sun, Cheolkon Jung, “Parallelization of deconvolution based image super-resolution on multi-core CPU platform,” Proc. IEEE ICME, 2014 (EI).
3. Zengzeng Sun, Cheolkon Jung, "Real-time Depth-Image-Based Rendering on GPU," Proc. CyberC, pp. 324-328, 2015 (EI).
Learning & Vision
(1) Change Detection in SAR Images
1. H.L. Wan, C. Jung, B. Hou, G.T. Wang, Q.X. Tang, “Novel change detection in SAR imagery using local connectivity,” IEEE Geoscience and Remote Sensing Letters, Vol. 10, No. 1, pp. 174-178, 2013 (SCI).
(2) Object Detection & Recognition
1. Cheolkon Jung, Jianpeng Yin, "SQI-Based Illumination Normalization for Face Recognition Based on Discrete Wavelet Transform," Proc. IEEE ICIP 2016 (EI).
2. Cheolkon Jung, Tian Sun, Licheng Jiao, “Eye detection in varying illumination using the retinex theory,” Neurocomputing, Vol. 113, pp. 130-137, 102004, 2013 (SCI). "2015 Best Paper Award in National PhD Conference"
3. Cheolkon Jung, Licheng Jiao, Tian Sun, “Illumination invariant eye detection in facial images based on the Retinex theory,” Lecture Notes in Computer Science (IscIDE 2011), Vol. 7202, pp. 175-183, 2012 (EI).
(3) Motion Estimation and Segmentation
1. Cheolkon Jung, Licheng Jiao, Maoguo Gong, “A novel approach to motion segmentation based on gamma distribution,” AEU International Journal of Electronics and Communications, Vol. 66, No. 3, pp. 235-238, 2012 (SCI)
2. Cheolkon Jung, Licheng Jiao, Maoguo Gong, “New optical flow approach for motion segmentation based on gamma distribution,” Lecture Notes in Computer Science (MMM 2010), Vol. 5916, pp. 444-453, 2010 (EI).
3. Cheolkon Jung, Joongkyu Kim, “Automatic segmentation of non-rigid objects in image sequences using spatiotemporal information,” Lecture Notes in Computer Science (PSIVT 2009), Vol. 5414, pp. 562-573, 2009 (EI).
(4) Videotext Detection, Segmentation, and Recognition
1. Cheolkon Jung, Licheng Jiao, “Korean-English bilingual videotext recognition for news headline generation based on a split-merge strategy,” Journal of Real-time Image Processing, Vol. 11, No. 1, pp. 167-177, 2016 (SCI).
2. Cheolkon Jung, Qifeng Liu, Joongkyu Kim, “Accurate text localization in images based on SVM output scores,” Image and Vision Computing, Vol. 27, No. 9, pp. 1295-1301, 2009 (SCI).
3. Cheolkon Jung, Qifeng Liu, Joongkyu Kim, “A stroke filter and its application to text localization,” Pattern Recognition Letters, Vol. 30, No. 2, pp. 114-122, 2009 (SCI).
4. Cheolkon Jung, Qifeng Liu, Joongkyu Kim, “A new approach for text segmentation using a stroke filter,” Signal Processing, Vol. 88, No. 7, pp. 1907-1916, 2008 (SCI).