研究生: |
Nguyen Thanh Thien Phuc Nguyen Thanh Thien Phuc |
---|---|
論文名稱: |
A Study on Optimal Chroma Subsampling and Upsampling Combination Methods for JPEG Image Reconstruction A Study on Optimal Chroma Subsampling and Upsampling Combination Methods for JPEG Image Reconstruction |
指導教授: |
鍾國亮
Kuo-Liang Chung |
口試委員: |
黃元欣,
Yuan-Xin Huang 李同益 Tong-Yi Li 蔡文祥 Wen-Xiang Cai 簡仁宗 Jian-Zhong Chen |
學位類別: |
碩士 Master |
系所名稱: |
電資學院 - 資訊工程系 Department of Computer Science and Information Engineering |
論文出版年: | 2020 |
畢業學年度: | 108 |
語文別: | 英文 |
論文頁數: | 50 |
中文關鍵詞: | RGB full-color image 、Chroma upsampling 、Feature Similarity Index (FSIM) 、Quality-bitrate tradeoff 、Chroma subsampling 、JPEG compression |
外文關鍵詞: | RGB full-color image, Chroma upsampling, Feature Similarity Index (FSIM), Quality-bitrate tradeoff, Chroma subsampling, JPEG compression |
相關次數: | 點閱:197 下載:0 |
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Chroma subsampling is a significant step which reduces color information before encoding the RGB full-color image in JPEG compression. In this paper, we integrate different chroma subsampling and upsampling methods into Baseline JPEG codec to find the best combination for quality improvement. Prior to JPEG encoding, we implement traditional 4:2:0 chroma subsampling methods, including 4:2:0(A), 4:2:0(L), 4:2:0(R), 4:2:0(DIRECT), 4:2:0(MPEG_B), 4:2:0(BRIGHT) and 4:2:0(BRIGHT_MEAN) as well as adaptive chroma subsampling methods, such as Quality Preserving Luma Adaptation-based Chroma Subsampling (QPLACS), Interpolation-Dependent Image Downsampling (IDID) and Joint Chroma Downsampling and Upsampling (JCDU). At the client side, the considered upsampling methods are COPY, BILINEAR, BICUBIC and Augmented Bilinear Interpolation based upsampling (ABIL) methods. The overall experimental results on Kodak and IMAX datasets demonstrate that the best combination of chroma subsampling-upsampling scheme is QPLACS-BILINEAR, which can achieve high quality-preserving effects, such as Color-Peak-Signal-Noise-Ratio (CPSNR), Structural Similarity Index (SSIM) and Feature Similarity Index (FSIM). Furthermore, it can also gain substantial improvement in the quality-bitrate tradeoff of reconstructed RGB full-color images.
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