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产学研导向

 

   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 

 

    电子邮箱:zhengzk@xidian.edu.cn

    办公地点:北校区(太白南路2号)一百号楼217 

 

产学研合作项目(至今)

 

   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] 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.

[2] 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.

[3] 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.

[4] 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] 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] 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, 2016 (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.

 

论文:

[1] 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)

[2] 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。

[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).

 

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