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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 imageChroma upsamplingFeature Similarity Index (FSIM)Quality-bitrate tradeoffChroma subsamplingJPEG compression
外文關鍵詞: RGB full-color image, Chroma upsampling, Feature Similarity Index (FSIM), Quality-bitrate tradeoff, Chroma subsampling, JPEG compression
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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.

    Recommendation Letter . . . . . . . . . . . . . . . . . . . . . . . . i Approval Letter . . . . . . . . . . . . . . . . . . . . . . . . . . . . ii Abstract . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iii Acknowledgements . . . . . . . . . . . . . . . . . . . . . . . . . . iv Contents . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . v List of Figures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vii List of Tables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . viii 1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 2 Chroma Subsampling Integration in JPEG Encoding . . . . . . . 5 2.1 The existing chroma subsampling methods . . . . . . . . . 5 2.2 IDID and JCDU chroma subsampling methods . . . . . . 8 2.3 Quality-Preserving Luma Adaptation-based Chroma Subsampling (QPLACS) method . . . . . . . . . . . . . . . . 9 2.3.1 Reference Augmented Bilinear Interpolation-based (ABIL) upsampling method . . . . . . . . . . . . 11 2.3.2 Deploying block-distortion optimization into the Derived Over-determined System . . . . . . . . . . . 13 2.3.3 The Multiple Linear Regression-based determination for unknown values . . . . . . . . . . . . . . 14 3 Chroma Upsampling Integration in JPEG Decoding . . . . . . . 16 4 Experimental Results . . . . . . . . . . . . . . . . . . . . . . . 17 4.1 Quality metric evaluation: CPSNR, SSIM and FSIM . . . 19 4.2 Comparison in terms of execution time . . . . . . . . . . . 30 4.3 Quality-bitrate Merit . . . . . . . . . . . . . . . . . . . . 32 4.4 Evaluation on Bayer mosaic images . . . . . . . . . . . . 35 5 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40

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