A study of deep image compression for YUV420 color space

Changyue Ma; Zhao Wang; Ru-Ling Liao; Yan Ye

doi:10.1117/12.2593500

1 August 2021 A study of deep image compression for YUV420 color space

Changyue Ma, Zhao Wang, Ru-Ling Liao, Yan Ye

Proceedings Volume 11842, Applications of Digital Image Processing XLIV; 1184204 (2021) https://doi.org/10.1117/12.2593500
Event: SPIE Optical Engineering + Applications, 2021, San Diego, California, United States

Abstract

Currently, most deep image compression methods are designed to compress images in RGB color space. However, there are also many images in YUV420 color space and the video coding standards such as H.265/HEVC and H.266/VVC support compression of images in YUV420 color space with their respective Main Still Picture profiles. In this paper, we first study how to adjust the deep compression frameworks designed for images in RGB color space to compress images in YUV420 color space. Then, we study the coding performance impact when we adjust the training distortion weight for YUV channels and compare the experimental results with HEVC and VVC all intra configuration. The proposed approaches are applicable in both image compression and intra coding in video compression.

Conference Presentation

Citation Download Citation

Changyue Ma, Zhao Wang, Ru-Ling Liao, and Yan Ye "A study of deep image compression for YUV420 color space", Proc. SPIE 11842, Applications of Digital Image Processing XLIV, 1184204 (1 August 2021); https://doi.org/10.1117/12.2593500

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