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研究生: 鄭仁舜
Jen-Shun Cheng
論文名稱: 使用多重線性回歸技術針對RGB全彩影像之有效 彩度抽樣和亮度修正
Effective Chroma Subsampling and Luma Modidication for RGB Full-color Images Using the Multiple Linear Regression Technique
指導教授: 鍾國亮
Kuo-Liang Chung
口試委員: 貝蘇章
Soo-Chang Pei
廖弘源
Hong-Yuan Liao
范國清
Kuo-Chin Fan
花凱龍
Kai-Lung Hua
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: 39
中文關鍵詞: 彩度抽樣失真模型亮度修正多元線性回歸品質位元 率權衡RGB全彩影像通用視頻編碼
外文關鍵詞: Chroma subsampling, Distortion model, Luma modification, Multiple linear regression, Quality-bitrate tradeoff, RGB full-color image, Versatile video coding (VVC)
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與傳統 RGB 全彩影像轉成 YUV 的彩度抽樣方法不同,本文提出 了一種新穎有效的彩度抽樣和亮度修正(CSLM)方法。對於每個 2×2 YUV區塊,首先,提出了一個新的重建 2×2 RGB 全彩色塊失真模型,然後為了使重建的 2×2 RGB 全彩色塊可以最大程度地減少色塊失真,我們提出了一種多元線性回歸方法來解我們的 CSLM 方法,從而顯著改善 重構的 RGB 全採影像的品質。綜合實驗結果顯示,我們的方法在通用視頻編碼(VVC)針對重建RGB全彩影像,相對於六種傳統方法和三種最 新方法比較,具有更好的品質和品質位元率權衡優勢。


Differing from the traditional chroma subsampling on the YUV image converted from a RGB full-color image, in this thesis, we propose a novel and effective chroma subsampling and luma modification (CSLM) method. For each 2x2 YUV block, first, a newly reconstructed 2x2 RGB full-color block-distortion model is proposed, and then we propose a multiple linear regression approach to tackle our CSLM method such that the reconstructed 2x2 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.

Recommendation Letter . . . . . . . . . . . . . . . . . . . . . . . . i Approval Letter . . . . . . . . . . . . . . . . . . . . . . . . . . . ii Abstract in Chinese . . . . . . . . . . . . . . . . . . . . . . . . . .iii Abstract in English . . . . . . . . . . . . . . . . . . . . . . . . . .iv Acknowledgements in Chinese . . . . . . . . . . . . . . . . . . . . . .v Contents . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vi List of Figures . . . . . . . . . . . . . . . . . . . . . . . . . . . .viii List of Tables . . . . . . . . . . . . . . . . . . . . . . . . . . . . ix 1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.1 RelatedWork . . . . . . . . . . . . . . . . . . . . . . . . . . . .3 1.2 Contributions . . . . . . . . . . . . . . . . . . . . . . . . . . .5 2 The Reconstructed Block-Distortion Model and The Derived Overdetermined System . . . . . . . . . . . . . . 7 2.1 Estimating the Reconstructed 2×2 RGB Full-color Blockdistortion Model. . . . . . . . . . . . . . . . . . 7 2.2 Deriving the Overdetermined System . . . . . . . . . . . . . . . 10 3 Determining The Subsampled Chroma Pair and Modified Luma Values . . 15 3.1 Solving the Overdetermined System by Matrix Pseudoinverse Technique . .15 3.2 The Whole Procedure to Realize Our CSLM Method . . . . . . . . . . 17 4 Experimental Results . . . . . . . . . . . . . . . . . . . . . . . . 19 4.1 CPSNR,SSIM,and FSIMc Merits . . . . . . . . . . . . . . . . . . . 19 4.2 Quality-bitrate Merit, Luma Mean Preservation Effect, and Execution Time Comparison . . . . . . . . . . . . . . . . 21 5 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28 Letter of Authority . . . . . . . . . . . . . . . . . . . . . . . . . . 29

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