国际标准化技术 (2021.7 ~ 2026.12) 优秀合作伙伴
论文：
[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] Yusong Hu, Cheolkon Jung, Yang Liu, Ming Li, "Asymmetric Learned Image Compression Using Fast Residual Channel Attention," Proc. ICPR, 2024 (EI).
[3] Yunfeng Liu, Cheolkon Jung, "DWT-SALF: Subband Adaptive Neural Network Based In-Loop Filter for VVC Using Cyclic DWT," Proc. ICPR, 2024 (EI).
[4] 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).
[5] 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. 104599-104610, 2024 (SCI).
[6] Zenghui Duan, Cheolkon Jung, Yang Liu, Ming Li, "Learned Image Compression Using a Long and Short Attention Module," Proc. IEEE ICIP, 2024 (EI).
[7] 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).
[8] Hao Zhang, Cheolkon Jung, Dan Zou, Ming Li, "WCDANN: A Lightweight CNN Post-Processing Filter for VVC-Based Video Compression," IEEE Access, 2023 (SCI).
[9] Hao Zhang, Cheolkon Jung, Yang Liu, and Ming Li, "Lightweight CNN-Based In-loop Filter for VVC Intra Coding," Proc. IEEE ICIP, 2023 (EI).
[10] Hui Lan, Cheolkon Jung, Yang Liu, Ming Li, "CNN Filter for RPR-Based SR in VVC with Wavelet Decomposition," Proc. IEEE ICASSP, 2023 (EI).
[11] Shimin Huang, Cheolkon Jung, Yang Liu, Ming Li, "CNN Filter for Super-Resolution with RPR functionality in VVC," Proc. IEEE ICASSP, 2023 (EI).
[12] Zhe Ji, Hui Lan, Cheolkon Jung, Dan Zou, and Ming Li, "Saving Bits Using Multi-Sensor Collaboration," IEEE Access, vol. 11, pp. 4869-4878, 2023 (SCI).
[13] 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).
[14] 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, vol. 33, no. 1, pp. 434-444, 2023 (SCI).
国际标准提案(MPEG)：
[1] Penghao Fu, Cheolkon Jung, Qipu Qin, "AHG11: QP Distance-Based Progressive Learning for Enhancing HOP In-Loop Filter,” JVET-AI0092, Joint Video Experts Team (JVET) of ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29 35th Meeting, Sapporo, JP, 12–19 July 2024.
[2] Hanwen Zhang, Cheolkon Jung, Qipu Qin, "AHG11: Deep Reference Frame Generation for VVC Inter Coding,” JVET-AI0090, Joint Video Experts Team (JVET) of ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29 35th Meeting, Sapporo, JP, 12–19 July 2024.
[3] Qipu, Cheolkon Jung, "AHG11: RA/LDB Unified Reference Frame Synthesis for VVC Inter Coding,” JVET-AI0089, Joint Video Experts Team (JVET) of ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29 35th Meeting, Sapporo, JP, 12–19 July 2024.
[4] Shimin Huang, Cheolkon Jung, Yang Liu, Ming Li, “EE1 related: Performance Improvement of AC0052 filter for RPR-based SR in RA configuration,” JVET-AD0170, Joint Video Experts Team (JVET) of ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29 30th Meeting, Antalya, TR, 21–28 April 2023.
[5] Hao Zhang, Cheolkon Jung, Yang Liu, Ming Li, “EE1-1.5: Ablation Study and Minor Improvements on RTNN,” JVET-AD0226, Joint Video Experts Team (JVET) of ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29 30th Meeting, Antalya, TR, 21–28 April 2023.
[6] Hao Zhang, Cheolkon Jung, Yang Liu, Ming Li, “Crosscheck of JVET-AD0163 (AHG11: Updating NNPFC and NNPFA SEI messages for the NNPF),” JVET-AD0314, Joint Video Experts Team (JVET) of ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29 30th Meeting, Antalya, TR, 21–28 April 2023.
[7] Hao Zhang, Cheolkon Jung, Yang Liu, and Ming Li, “[EE1-related] RTNN: An In-loop Filter Based on Resblock and Transformer,” JVET-AC0156, Joint Video Experts Team (JVET) of ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29 29th Meeting, by teleconference, 11–20 January 2023.
[8] Hui Lan, Cheolkon Jung, Yang Liu, Ming Li, Junghak Nam, Sunmi Yoo, Jaehyun Lim, and Seung Hwan Kim, "EE1-related: A CNN Filter for RPR-Based Super-Resolution Using Wavelet Decomposition Combined with GOP Level Adaptive Resolution,” JVET-AC0081, Joint Video Experts Team (JVET) of ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29 29th Meeting, by teleconference, 11–20 January 2023.
[9] Shimin Huang, Cheolkon Jung, Yang Liu, Ming Li, Junghak Nam, Sunmi Yoo, Jaehyun Lim, and Seung Hwan Kim, "EE1-2.4: CNN filter Based on RPR-based SR Combined with GOP Level Adaptive Resolution," JVET-AC0052, Joint Video Experts Team (JVET) of ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29 29th Meeting, by teleconference, 11–20 January 2023.
[10] Qihui Han, Cheolkon Jung, Yang Liu, Ming Li, Junghak Nam, Sunmi Yoo, Jaehyun Lim, and Seung Hwan Kim, "EE1-2.3: RPR-Based Super-Resolution Guided by Partition Information Combined with GOP Level Adaptive Resolution,” JVET-AC0051, Joint Video Experts Team (JVET) of ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29 29th Meeting, by teleconference, 11–20 January 2023.
[11] Hui Lan, Cheolkon Jung, Yang Liu, and Ming Li, “AHG11: A CNN Filter for RPR-based SR with Wavelet Decomposition,” JVET-AB0101, Joint Video Experts Team (JVET) of ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29 28th Meeting, Mainz, DE, 20–28 October 2022.
[12] Hao Zhang, Cheolkon Jung, Yang Liu, and Ming Li, “EE1-1.3 related: Lightweight and Efficient CNN In-loop Filter,” JVET-AB0090, Joint Video Experts Team (JVET) of ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29 28th Meeting, Mainz, DE, 20–28 October 2022.
[13] Hao Zhang, Cheolkon Jung, Yang Liu, and Ming Li, “EE1-1.3: CNN Based In-Loop Filter with WCDANN,” JVET-AB0054, Joint Video Experts Team (JVET) of ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29 28th Meeting, Mainz, DE, 20–28 October 2022.
[14] Qihui Han, Cheolkon Jung, Yang Liu, and Ming Li, “EE1-2.1: RPR-Based Super-Resolution Guided by Partition Information,” JVET-AB0076, Joint Video Experts Team (JVET) of ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29 28th Meeting, Mainz, DE, 20–28 October 2022.
[15] Shimin Huang, Cheolkon Jung, Yang Liu, and Ming Li, “EE1-2.2 related: Lightweight CNN Filter for Super-Resolution with RPR functionality in VVC,” JVET-AB0093, Joint Video Experts Team (JVET) of ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29 28th Meeting, Mainz, DE, 20–28 October 2022.
[16] Shimin Huang, Cheolkon Jung, Yang Liu, and Ming Li, “EE1-2.2: CNN Filter for Super-Resolution with RPR functionality in VVC,” JVET-AB0077, Joint Video Experts Team (JVET) of ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29 28th Meeting, Mainz, DE, 20–28 October 2022.
[17] Qihui Han, Cheolkon Jung, Yang Liu, and Ming Li, “AHG11: RPR-Based Super-Resolution Guided by Partition Information,” JVET-AA0076, Joint Video Experts Team (JVET) of ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29, 27th Meeting, by teleconference, 13–22 July 2022.
[18] Shimin Huang, Cheolkon Jung, Yang Liu, and Ming Li, “AHG11: CNN Filter for Super-Resolution with RPR functionality in VVC,” JVET-AA0065, Joint Video Experts Team (JVET) of ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29, 27th Meeting, by teleconference, 13–22 July 2022.
[19] Qipu Qin, Cheolkon Jung, Dan Zou, and Ming Li, “EE1-3.1: Supplementary experiments based on JVET-Z0077,” JVET-AA0059, Joint Video Experts Team (JVET) of ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29, 27th Meeting, by teleconference, 13–22 July 2022.
[20] Hao Zhang, Cheolkon Jung, Dan Zou, and Ming Li, “[EE1-related] Lighter WCDANN: CNN Based In-Loop Filters,” JVET-AA0074, Joint Video Experts Team (JVET) of ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29, 27th Meeting, by teleconference, 13–22 July 2022.
[21] Zenghui Duan, Cheolkon Jung, Yang Liu, Ming Li, "Team21 Response to the JPEG AI Call for Proposals," ISO/IEC JTC 1/SC29/WG1 M96056, 96th JPEG Meeting, Online, 25-29 July 2022.
[22] Zhe Ji, Cheolkon Jung, Dan Zou, Ming Li, “[VCM] Further experiments of m58578,” ISO/IEC JTC 1/SC 29/WG 4 m59371, April 2022, Online.
[23] Qipu Qin, Cheolkon Jung, Dan Zou, Ming Li, “AHG11: Extension of DOVC to Regular 2D Videos,” JVET-Z0077, Joint Video Experts Team (JVET) of ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29 26th Meeting, by teleconference, 20 – 29 April 2022.
[24] Hao Zhang, Cheolkon Jung, Dan Zou, Ming Li, “EE1-1.5: Test on NN-based filter as proposed in JVET-Y0052,'' JVET-Z0073, Joint Video Experts Team (JVET) of ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29 26th Meeting, by teleconference, 20 – 29 April 2022.
[25] Zhanyuan Qi, Cheolkon Jung, Yang Liu, Ming Li, “AHG11: CNN-Based Post-Processing Filter for Video Compression with Multi-Scale Feature Representation,” JVET-Z0144, Joint Video Experts Team (JVET) of ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29 26th Meeting, by teleconference, 20 – 29 April 2022.
[26] Qipu Qin, Cheolkon Jung, Dan Zou, Ming Li, ''AHG11: Deep Omnidirectional Video Compression in YUV Domain,'' JVET-Y0051, Joint Video Experts Team (JVET) of ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29 25th Meeting, by teleconference, 12-21 Jan. 2022.
[27] Hao Zhang, Cheolkon Jung, Dan Zou, Ming Li, “AHG11: CNN post-processing filter based on depthwise separable convolution and attention mechanism,” JVET-Y0052, Joint Video Experts Team (JVET) of ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29 25th Meeting, by teleconference, 12-21 Jan. 2022.
[28] Zhe Ji, Cheolkon Jung, Dan Zou, and M. Li, "Multi-sensor collaboration meets video compression," ISO/IEC JTC 1/SC 29/WG 4 m58578, January 2022, Online.
[29] Qipu Qin, Cheolkon Jung, Dan Zou, Ming Li, “[AHG11 & AHG6] DOVC: Deep Omnidirectional Video Compression,” JVET-X0043, Joint Video Experts Team (JVET) of ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29 24th Meeting, by teleconference, 6 – 15 Oct. 2021.
[30] Hui Lan, Zhe Ji, Cheolkon Jung, Dan Zou, Ming Li, “[MIV] New paradigm for video coding: Saving bits using multi-sensor collaboration,” ISO/IEC JTC 1/SC 29/WG 4 m57961, October 2021, Online.
[31] Hao Zhang, Cheolkon Jung, Yang Liu, and Ming Li, “[EE1-related] RTNN: An In-loop Filter Based on Resblock and Transformer,” JVET-AC0156, Joint Video Experts Team (JVET) of ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29 29th Meeting, by teleconference, 11–20 January 2023.
[32] Hui Lan, Cheolkon Jung, Yang Liu, Ming Li, Junghak Nam, Sunmi Yoo, Jaehyun Lim, and Seung Hwan Kim, "EE1-related: A CNN Filter for RPR-Based Super-Resolution Using Wavelet Decomposition Combined with GOP Level Adaptive Resolution,” JVET-AC0081, Joint Video Experts Team (JVET) of ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29 29th Meeting, by teleconference, 11–20 January 2023.
[33] Shimin Huang, Cheolkon Jung, Yang Liu, Ming Li, Junghak Nam, Sunmi Yoo, Jaehyun Lim, and Seung Hwan Kim, "EE1-2.4: CNN filter Based on RPR-based SR Combined with GOP Level Adaptive Resolution," JVET-AC0052, Joint Video Experts Team (JVET) of ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29 29th Meeting, by teleconference, 11–20 January 2023.
[34] Qihui Han, Cheolkon Jung, Yang Liu, Ming Li, Junghak Nam, Sunmi Yoo, Jaehyun Lim, and Seung Hwan Kim, "EE1-2.3: RPR-Based Super-Resolution Guided by Partition Information Combined with GOP Level Adaptive Resolution,” JVET-AC0051, Joint Video Experts Team (JVET) of ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29 29th Meeting, by teleconference, 11–20 January 2023.
[35] Shimin Huang, Cheolkon Jung, Yang Liu, Ming Li, “EE1 related: Performance Improvement of AC0052 filter for RPR-based SR in RA configuration,” JVET-AD0170, Joint Video Experts Team (JVET) of ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29 30th Meeting, Antalya, TR, 21–28 April 2023.
[36] Hao Zhang, Cheolkon Jung, Yang Liu, Ming Li, “EE1-1.5: Ablation Study and Minor Improvements on RTNN,” JVET-AD0226, Joint Video Experts Team (JVET) of ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29 30th Meeting, Antalya, TR, 21–28 April 2023.
[37] Hao Zhang, Cheolkon Jung, Yang Liu, Ming Li, “Crosscheck of JVET-AD0163 (AHG11: Updating NNPFC and NNPFA SEI messages for the NNPF),” JVET-AD0314, Joint Video Experts Team (JVET) of ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29 30th Meeting, Antalya, TR, 21–28 April 2023.
获奖：
[1] OPPO知识产权部优秀合作伙伴 (2023-4-4)
新数字媒体与通信技术 (2018.10 ~ 2019.12)
参与人: 郑喆坤(PI), 于胜韬, 付庆涛, 孙天, 韩其辉 (博士生), 周凯龙, 卫泽明, 梅琳, 冯佳伟, 郑军学, 王枫乔 (硕士生);
论文：
[1] Lin Mei, Cheolkon Jung, "Low Light Image Enhancement by Multispectral Fusion and Convolutional Neural Networks," Proc. ICPR, 2022 (EI).
[2] 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).
[3] Junxue Zheng, Cheolkon Jung, "Multispectral and Multimodal Image Registration Based on a Dynamic Fusion Index," Proc. IEEE ISCAS, 2022 (EI).
[4] 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, vol. 2, pp. 559-570, 2021.
[5] Lin Mei and Cheolkon Jung, "Deep Fusion of RGB and NIR Paired Images Using Convolutional Neural Networks ," Proc. ICPR, pp. 6802-6809, 2020 (EI).
[6] Tian Sun, Cheolkon Jung, "NIR Image Colorization Using SPADE Generator and Grayscale Approximated Self-Reconstruction," Proc. IEEE VCIP, 2020 (EI).
[7] Fengqiao Wang, Lu Lu, Cheolkon Jung, "Deep Near Infrared Colorization with Semantic Segmentation and Transfer Learning," Proc. IEEE VCIP, 2020 (EI).
[8] Junxue Zheng, Cheolkon Jung, Shentao Yu, "Low Light Image Enhancement by Multispectral Fusion of RGB and NIR Images," Proc. IEEE ICIP, pp. 2541-2545, 2020 (EI).
[9] Kailong Zhou, Cheolkon Jung, Shengtao Yu, "Scale-Aware Multispectral Fusion of RGB and NIR Images Based on Alternating Guidance," IEEE Access, vol. 8, pp. 173197 - 173207, 2020 (SCI).
[10] 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).
[11] Cheolkon Jung, Kailong Zhou, 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)
[12] Tian Sun, Cheolkon Jung, Qingtao Fu, Qihui Han, “NIR to RGB Domain Translation Using Asymmetric Cycle Generative Adversarial Networks,” IEEE Access, vol. 7, pp. 112459-112469, 2019 (SCI).
[13] 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).
[14] Qingtao Fu, Cheolkon Jung, Chen Su, “Color Recovery from Multi-Spectral NIR Images Using Gray Information,” Proc. ACM Multimedia Asia, 2019 (EI).
[15] 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).
获奖：
[1] IEEE VCIP 2020 - Grand Challenge Award (Team: Amazing Grace)
HEVC Main 10 Profile-Based HDR Video Coding & Its Standardization
(2015.10-2016.9) 优秀合作项目
参与人: 郑喆坤(PI), 于胜韬, 付庆涛(博士生), 柯鹏, 陈瑶, 杨歌, 林桥洲, 于龙(硕士生);
专利：
[1] Cheolkon Jung, Shengtao Yu, Peng Ke, Ming Li, Ping Wu, Guoqiang Shang, Zhao Wu, PICTURE ENCODING AND DECODING METHODS AND APPARATUSES , AND PICTURE ENCODING AND DECODING SYSTEM, US Patent, US10681350B2, 2020-6-9.
[2] 郑喆坤, 于胜韬, 陈瑶, 林桥洲, 一种用于视频图像的编码方法和装置, 中国专利局, CN201610065413.7, 2016-1-31.
[3] 郑喆坤, 付庆涛, 杨歌, 一种图像像素采样值转换、采样值处理方法及装置, 中国专利局, CN201610072459.1, 2016-2-2.
[4] 郑喆坤, 于胜韬, 柯鹏, 一种基于自适应感知量化的视频编码方法和系统, 中国专利局, CN201610066327.8, 2016-1-31.
[5] 郑喆坤, 林桥洲, 于胜韬, 媒体数据处理方法和装置及系统, 中国专利局, CN201610325310.X, 2016-5-16.
国际标准提案(MPEG)：
[1] 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, CH.
[2] 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/ JCTVC-W0066, 2016, Sandiego, USA.
[3] 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/ JCTVC-W0068, 2016, Sandiego, USA.
[4] 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/ JCTVC-W0071, 2016, Sandiego, USA.
[5] 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.
[6] 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, CH.
[7] Cheolkon Jung, Qiaozhou Lin, Shengtao Yu, “HEVC Encoder Optimization Based on Perceptual Block Merging,” ISO/IEC JTC1/SC29/WG11 JCTVC-X0070, 2016, Geneva, CH.
论文：
[1] 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).
[2] Shengtao Yu, Cheolkon Jung, "Adaptive Perceptual Quantizer for High Dynamic Range Video Compression," Journal of Visual Communication and Image Representation, 2018 (SCI).
[3] Qingtao Fu, Cheolkon Jung, Ge Yang, "Weighted Chroma Downsampling and Luma-Referenced Chroma Upsampling for HDR/WCG Video Coding," Proc. IEEE ICIP, 2018 (EI).
[4] Shengtao Yu, Cheolkon Jung, and Qiaozhou Lin, "HEVC Encoder Optimization for HDR Video Coding Based on Irregularity Concealment Effect," Signal Processing: Image Communication, vol. 64, pp. 68-77, 2018 (SCI)
[5] Qingtao Fu, Cheolkon Jung, Ge Yang, “Adaptive Quantization-Based HDR Video Coding with HEVC Main 10 Profile,” Proc. IEEE ISM, 2017 (EI)
[6] Shengtao Yu, Cheolkon Jung, Peng Ke,“Adaptive PQ: Adaptive Perceptual Quantizer for HEVC Main 10 Profile-Based HDR Video Coding,” Proc. IEEE VCIP, 2016 (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)
[8] Qiaozhou Lin, Cheolkon Jung, Shengtao Yu, “Backward Compatible Opto-Electrical Transfer Function for HDR Video CodinBased on Rational Quantization,” Proc. IEEE VCIP, 2016 (EI)
[9] Cheolkon Jung, Yao Chen, Qiaozhou Lin, "Perceptual Block Merging for Quadtree-Based Partitioning in HEVC Using Disorderly Concealment Effect," Proc. IEEE VCIP, 2015 (EI)
[10] Yao Chen, Cheolkon Jung, Qiaozhou Lin, Ming Li, Ping Wu, “Perceptual Rate Distortion Optimization Based On Free Energy-Based Just Noticeable Difference Model,” ZTE Communications, 2016.
Low Light Video Enhancement (2015.10-2016.8)
参与人: 郑喆坤(PI), 付庆涛, 苏浩楠, 韩其辉, 常亚坤(博士生), 柯鹏, 孙婷婷, 杨琦(硕士生);
专利：
[1] METHOD FOR PROCESSING IMAGE AND APPARATUS FOR EXECUTING THE METHOD
[2] APPARATUS AND METHOD FOR PROCESSING IMAGE
论文：
[1] 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).
[2] Yakun Chang, Cheolkon Jung, Peng Ke, Hyoseob Song, Jungmee Hwang, “Automatic Contrast Limited Adaptive Histogram Equalization with Dual Gamma Correction,” IEEE Access, vol. 6, pp. 11782-11792, 2018 (SCI)
[3] Tingting Sun, Cheolkon Jung, Peng Ke, Hyoseob Song, Jungmee Hwang, “Readability Enhancement of Low Light Videos Based on Discrete Wavelet Transform,” in Proc. IEEE ISM, pp. 342-345, 2017 (EI)
[4] 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. 42, pp. 28-36, 2017 (SCI)
Ambient Light Adaptive Display Enhancement
(2014.12-2015.11)
参与人: 郑喆坤(PI), 苏浩楠, 张振东(博士生), 王露, 柯鹏(硕士生);
专利：
[1] 郑喆坤, 苏浩楠, 杜元甲, 王舒瑶, 一种环境光下的图像增强方法, 中国专利局, CN201610066328.2, 2016-01-31.
[2] 郑喆坤, 王露, 杜元甲, 王舒瑶, 一种提升图像质量的方法和装置, 中国专利局, CN201510846335.X, 2015-11-27. 授权 (2018.5.16)
论文：
[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] Haonan Su, Cheolkon Jung, Shuyao Wang, Yuanjia Du, "Adaptive Enhancement of Luminance and Details in Images Under Ambient Light," Proc. IEEE ICASSP, pp. 1219-1223, 2016 (EI).
2D to 3D (2012.5-2013.4)
参与人: 郑喆坤(PI), 孙天(博士生), 朱孝华, 王磊, 孙增增(硕士生);
[1] 郑喆坤, 韩明臣, 孙增增, 焦李成, 一种生成虚拟视图的方法及装置, 中国专利局, CN201310690338.X (CN103714573B)。授权 (2017.6.6)
[2] 韩明臣, 郑喆坤, 王磊, 侯彪, 帧图像转换方法、帧视频转换方法及装置, 中国专利局, CN201310712466.X (CN103686139B)。 授权 (2016.4.6)
[3] Cheolkon Jung, Mingchen Han, Zengeng Sun, Licheng Jiao, “Virtual View Generating Method and Apparatus,” US patent application, 20150170404A1 (US9519996B2), 2014.12.15。授权 (2016.12.13)
[4] Mingchen Han, Cheolkon Jung, Lei Wang, Biao Hou, “Image fr[ant]ame Conversion Method and Video fr[ant]ame Conversion Method and Apparatus,” US patent application, 20150178933A1 (US9530212B2), 2014.12.17。授权 (2016.12.27)
论文:
[1] 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).
[2] Cheolkon Jung, Xiaohua Zhu, Lei Wang, “2D to 3D Conversion in 3DTV Using Depth Map Generation and Virtual View Synthesis,” Proc. ICMT 2013, pp. 596-603, 2013 (EI).
[3] Zengzeng Sun, Cheolkon Jung, "Real-time Depth-Image-Based Rendering on GPU," Proc. CyberC, pp. 324-328, 2015 (EI).
本科研团队已具备国际领先的硬软件技术力量和研究人员，通过科研成果产业化，为IT行业发展做出贡献。
（帮助解决企业的有些科研中遇到的难点，积极补助企业科研Outsourcing）
合作方式：
(1) 技术咨询；
(2) 专利转让；
(3) 委托或共同研究（具体地按照学校指南）；
合作内容：
(1) H.265 & HDR Video Coding;
(2) Deep Leaning-Based Computer Vision;
(3) Computational Photography & Display Enhancement;
(4) Real-time Image Processing with GPU Acceleration;
(5) Super-Resolution/Denoising/Deblocking/Deblurring/Deringing;
(6) Semantic Image Understanding & Multimedia Retrieval;
(7) Stereoscopic 3D Video Processing & DIBR;
转让可以的专利：
(1) 一种基于显著自适应的视觉舒适预测及非线性映射的视觉舒适增强的方(CN2014107660712);
(2) 基于GPU加速的图像实时超分辨重建方法 (CN103295192B);
(3) 基于梯度一致性与各向异性正则化的超分辨图像重建方法 (CN103136727B);
(4) 基于字典学习和非局部总变差的图像超分辨方法(CN103136728B);
(5) 基于样本学习和深度图像传播的2D视频立体化方法(CN103716615B);
(6) 基于特征权重学习与核稀疏表示的图像分类方法 (CN102930301B);
(7) 基于凸优化的人脸超分辨率方法(CN102136065B);
(8) 利用3D字典消除3D播放系统中块效应的方法(CN102750679B);
(9) 基于约束自适应传递的半监督图像分类方法(CN102496027);
(11) 基于稀疏表示的去块效应方法(CN102088606B);
(12) 利用流形谱聚类进行图像分割的方法(CN102024262B);
(13) 基于集成支撑矢量机排序的信息检索方法(CN101957859B);
联系方式
办公地点：北校区（太白南路2号）一百号楼217