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A Reduced Codebook and Re-Interpolation Approach for Enhancing Quality in Chroma Subsampling

2021/01/04 by Kuo‐Liang Chung, Chung, Kuo-Liang, Chen-Wei Kao +1
Computer Science · Engineering · #Advanced Image Processing Techniques #FOS: Electrical engineering #Image Processing Techniques and Applications #Image and Signal Denoising Methods #Image and Video Processing (eess.IV) #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.2101.00796

openalex publication_date 2021/01/04 · openalex created_date 2021/01/18 · openalex updated_date 2026/07/28

Abstract

Prior to encoding RGB full-color images or Bayer color filter array (CFA) images, chroma subsampling is a necessary and crucial step at the server side. In this paper, we first propose a flow diagram approach to analyze the coordinate-inconsistency (CI) problem and the upsampling process-inconsistency (UPI) problem existing in the traditional and state-of-the-art chroma subsampling methods under the current coding environment. In addition, we explain why the two problems degrade the quality of the reconstructed images. Next, we propose a reduced codebook and re-interpolation (RCRI) approach to solve the two problems for enhancing the quality of the reconstructed images. Based on the testing RGB full-color images and Bayer CFA images, the comprehensive experimental results demonstrated at least 1.4 dB and 2.4 dB quality improvement effects, respectively, of our RCRI approach against the CI and UPI problems for the traditional and state-of-the-art chroma subsampling methods.

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