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預測式向量量化影像壓縮之研究 劉家良、張世旭

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預測式向量量化影像壓縮之研究 劉家良、張世旭

E-mail: [email protected]

摘 要

一般標準向量量化編碼進行影像失真壓縮,因其未考慮影像區塊在空間的關係,其壓縮率應能再提高, 且混合編碼是結合 兩種以上編碼,具有截長補短的效果,故比單一編碼更有效率;本篇論文的目的是 提出一個提高壓縮率且能保有高的影像 還原品質之影像失真壓縮方法,主要是結合向量量化編碼、 預測式編碼及差值向量量化編碼的混合編碼技術,當影像在平 滑區域時,影像區塊間的變化不大, 則使用區塊預測編碼方法;當影像在非平滑區域時, 則使用向量量化編碼對區塊編碼,

若編碼誤差太大, 則改使用差值向量量化編碼,其優點除了改善影像重建品質也比一般向量量化有更低的位元率。 由實 驗結果證明,本論文所提出的方法,Lena影像在位元率0.87 bpp時,PSNR有35.02 dB,且在0.3 1bpp 時PSNR也有31.07 dB

,比VQ編碼在0.625 bpp時PSNR值為30.36 dB,高0.71 dB,可見得本論文所提出 PVQ-EVQ的方法除了有好的壓縮率外,

也可以有較高的影像重建品質。

關鍵詞 : 向量量化、預測編碼、混合編碼、PSNR

目錄

第一章緒論...1 第一節 研究背景與動機...1 第二節 研究目

的...3 第三節 提出方法...4 第四節 論文架構...4 第二章 相關研究與文獻探討...6 第一節 標準向量量化編碼...6 第二節 邊緣吻合向量量 化...8 第三節 區塊預測...10 第四節 區塊截短編碼...12 第五節 動量絕對值區塊截短碼...13 第六節 區塊截短碼與向量量化混合編碼...14 第七節 高效率的預測 式向量量化編碼...17 第八節 區塊截短碼與預測式向量量化混合編碼...19 第三章 預測式向量量化編 碼...21 第一節 差值向量量化編碼...21 第二節 差值向量量化解

碼...23 第三節 預測式向量量化及差值向量量化混合編碼...23 第四節 預測式向量量化及差值向量 量化解碼...30 第四章 實驗與分析...32 第一節 實驗方法...32 第二 節 實驗結果與分析...35 第五章 結論...46 第一節 討

論...46 第二節 未來研究方向...47 參考文獻...48 參考文獻

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[2] Y.L. Huang and R.F. Chang, "A New Side-Match Finite-State Vector Quantization Using Neural Networks For Image Coding," Journal of Visual Communication and Image Representation 13, pp. 335-347, 2002.

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[9] S.A. Mohamed, M.M. Fahmy, “Image Compression Using VQ-BTC,”IEEE Transactions on Communications, Vol. 43, pp. 2177 – 2182, July 1995.

[10] C.C. Chang, F.C. Shine, and T.S. Chen, "Pattern-based Side Match Vector Quantization for Image Quantization," to appear in the Imaging

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Science Junrnal, 2000.

[11] P.Y. Chen, "An Efficient Prediction Algorithm for Image Vector Quantization," IEEE Transactions on Systems, Man and Cybernetics, Part B Vol.34, pp. 740 - 746, Feb 2004.

[12] C.T. Huang, "The Study of Hybrid Image Coding Scheme Based on Block Truncation Coding and Vector Quantization," 靜宜大學 碩士論 文,民國九十二年。

[13] 張真誠、黃國峰、陳同孝,"電子影像技術",旗標電腦圖書,民國九十二年。

[14] 戴顯權,"資料壓縮",松崗電腦圖書,民國八十九年。

參考文獻

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