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Effective Chroma Subsampling and Luma Modification for RGB Full-Color Images Using the Multiple Linear Regression Technique

2020; Institute of Electrical and Electronics Engineers; Volume: 8; Linguagem: Inglês

10.1109/access.2020.2999910

2169-3536

Kuo‐Liang Chung, Jen-Shun Cheng, Hong-Bin Yang,

Image and Video Quality Assessment

Differing from the traditional chroma subsampling on the YUV image converted from a RGB full-color image, in this paper, we propose a novel and effective chroma subsampling and luma modification (CSLM) method.For each 2 × 2 YUV block, first, a newly reconstructed 2 × 2 RGB full-color blockdistortion model is proposed, and then we propose a multiple linear regression approach to tackle our CSLM method such that the reconstructed 2 × 2 RGB full-color block-distortion can be minimized, achieving significant quality improvement of the reconstructed RGB full-color image.Based on the Kodak and IMAX datasets, the comprehensive experimental results demonstrated that on the versatile video coding (VVC) platform VTM-8.0,our method achieves substantial quality and quality-bitrate tradeoff improvement of the reconstructed RGB full-color images relative to six traditional methods and the three state-of-the-art methods.