Spatial-temporal decorrelation for image/video coding

被引:0
|
作者
Wang, Miaohui [1 ]
Ngan, King Ngi [1 ]
Xu, Long [1 ]
机构
[1] Chinese Univ Hong Kong, Dept Elect Engn, Shatin, Hong Kong, Peoples R China
关键词
Discrete wavelet transform(DWT); Discrete cosine transform(DCT); Spatial-temporal decorrelation; Image/video coding; COMPRESSION; TRANSFORM; STANDARD;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Modern image/video compression techniques greatly help to store and transmit digital images and video data. Discrete wavelet transform is used in JPEG2000 because of its scalability and tolerable degradation. In H.264/AVC, predictive coding is employed to remove spatial redundancy before discrete cosine transform. In this paper, we propose a new encoder structure combining both advantages from JPEG2000 [1] and H.264/AVC [2], which firstly utilizes the proposed spatial transform to decompose a single image into several sub-images and then employs motion compensation to convert the conventional spatial decorrelation into temporal decorrelation. Experimental results show that our proposed method outperforms the state-of-the-art image coding algorithms and achieves better rate-distortion performance.
引用
收藏
页码:201 / 204
页数:4
相关论文
共 50 条
  • [1] Content adaptive spatial-temporal rescaling for video coding optimization
    Yang, Chao
    Qin, Siqian
    An, Ping
    Huang, Xinpeng
    Shen, Liquan
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2024, 254
  • [2] Conditional Neural Video Coding with Spatial-Temporal Super-Resolution
    Wang, Henan
    Pan, Xiaohan
    Feng, Runsen
    Guo, Zongyu
    Chen, Zhibo
    [J]. 2024 DATA COMPRESSION CONFERENCE, DCC, 2024, : 591 - 591
  • [3] Hierarchical frame based spatial-temporal recovery for video compressive sensing coding
    Gao, Xinwei
    Jiang, Feng
    Liu, Shaohui
    Che, Wenbin
    Fan, Xiaopeng
    Zhao, Debin
    [J]. NEUROCOMPUTING, 2016, 174 : 404 - 412
  • [4] Spatial-Temporal Residue Network Based In-Loop Filter for Video Coding
    Jia, Chuanmin
    Wang, Shiqi
    Zhang, Xinfeng
    Wang, Shanshe
    Ma, Siwei
    [J]. 2017 IEEE VISUAL COMMUNICATIONS AND IMAGE PROCESSING (VCIP), 2017,
  • [5] Learning Image and Video Compression through Spatial-Temporal Energy Compaction
    Cheng, Zhengxue
    Sun, Heming
    Takeuchi, Masaru
    Katto, Jiro
    [J]. 2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019), 2019, : 10063 - 10072
  • [6] Spatial-temporal Causal Inference for Partial Image-to-video Adaptation
    Chen, Jin
    Wu, Xinxiao
    Hu, Yao
    Luo, Jiebo
    [J]. THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2021, 35 : 1027 - 1035
  • [7] Video Description with Spatial-Temporal Attention
    Tu, Yunbin
    Zhang, Xishan
    Liu, Bingtao
    Yan, Chenggang
    [J]. PROCEEDINGS OF THE 2017 ACM MULTIMEDIA CONFERENCE (MM'17), 2017, : 1014 - 1022
  • [8] Optimum Video Subset and Spatial-Temporal Video Retrieval
    Wang, Mei-Zhen
    Liu, Xue-Jun
    Sun, Kai-Xin
    Wang, Zi-Ran
    [J]. Jisuanji Xuebao/Chinese Journal of Computers, 2019, 42 (09): : 2004 - 2023
  • [9] A Robust Quality Enhancement Method Based on Joint Spatial-Temporal Priors for Video Coding
    Meng, Xiandong
    Deng, Xuan
    Zhu, Shuyuan
    Zhang, Xinfeng
    Zeng, Bing
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 31 (06) : 2401 - 2414
  • [10] Deep Learning based Spatial-Temporal In-loop filtering for Versatile Video Coding
    Pham, Chi D. K.
    Fu, Chen
    Zhou, Jinjia
    [J]. 2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW 2021, 2021, : 1861 - 1865