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研究生: 林柏耀
Bo-Yao Lin
論文名稱: 兼具影像品質及低功率消耗之新DCT架構
A Novel DCT Architecture for Quality and Power Efficiency
指導教授: 阮聖彰
Shanq-Jang Ruan
口試委員: 楊佳玲
Chia-Lin Yang
陳伯奇
Poki Chen
曹孝櫟
Shiao-Li Tsao
許孟超
Mon-Chau Shie
學位類別: 碩士
Master
系所名稱: 電資學院 - 電子工程系
Department of Electronic and Computer Engineering
論文出版年: 2005
畢業學年度: 93
語文別: 中文
論文頁數: 97
中文關鍵詞: 低功率離散餘弦轉換
外文關鍵詞: lowpower, DCT
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  • 中文摘要

    最近幾年來,許多的可攜式影音產品越來越受到人們的歡迎,不但功能越來越強大、體積更是越來越小,但是這些以電池為供電來源的產品也都面臨到電源消耗的問題,因此低功率產品的設計概念逐漸受到重視。而在許多的影音壓縮標準中,取樣訊號都必須先經過一道離散餘弦轉換(DCT)的處理,所以低功率的DCT設計有其必要性,同時也變的越來越重要。
    本論文首先針對幾種常見的DCT架構進行效能分析,並依照分析的結果提出了Hybrid DCT架構的設計概念,該架構結合了Loeffler DCT的低失真度特性以及binDCT的低功率消耗特性,具有良好功率/效能比。
    本論文使用TSMC 0.25-μm technology library進行DCT架構的合成,並且使用Synopsys PrimePower軟體分析功率的消耗情形,此外還採用了一套以結構化失真為基礎的影像品質評估法,代替傳統的PSNR和MSE值。最後,經由模擬的結果發現,本論文所提出的Hybrid DCT架構不但能提供良好的影像品質,而且和Loeffler DCT架構相比,最多還能省下約24.8%的功率消耗以及27.2%的面積。


    Abstract

    In recent years, the demand for multimedia mobile battery-operated devices has created a need for low power implementation of video compression. Many compression standards require the discrete cosine transform (DCT) function to perform image/video compression. For this reason, low power DCT design has become more and more important in today's image/video processing.
    In this paper, we first compare several popular DCT architectures in VLSI. Then we propose a new power-efficient Hybrid DCT architecture which combines Loeffler DCT and binDCT in terms of special property on distortion and power consumption difference.
    We use Synopsys PrimePower to estimate the power consumption in a TSMC 0.25-μm technology. Besides, we also adopt a novel quality assessment method based on structural distortion measurement to measure the quality instead of peak signal to noise rations (PSNR) and mean squared error (MSE). It is concluded that our Hybrid DCT offers similar quality performance to the Loeffler DCT, and leads to 24.8% power consumption and 27.2% chip area savings.

    目次 中文摘要………………………………………………………………I Abstract…………………………………………………………………II 誌謝……………………………………………………………………III 目次……………………………………………………………………IV 圖表索引………………………………………………………………VI 第一章 緒論……………………………………………………………1 1.1 研究動機與背景………………………………………………1 1.2 論文組織與概觀………………………………………………2 第二章 轉換編碼………………………………………………………3 2.1 影像壓縮系統架構簡介………………………………………3 2.2 轉換編碼的種類………………………………………………4 2.2.1 離散傅立葉轉換…………………………………………5 2.2.2 離散餘弦轉換……………………………………………6 2.2.3 各種轉換編碼之效能比較……………………………10 2.3 1D-DCT演算法…………………………………………12 第三章 四種DCT的實作架構………………………………………14 3.1 FA-based(Flow Graph based)……………………………14 3.1.1 FA-based架構原理…………………………………14 3.1.2 Loeffler演算法架構…………………………………18 3.2 DA-based(Distributed Architecture)…………………26 3.3 Adder-based…...…………………………………………30 3.4 CORDIC-based(Coordinate Rotation Digital Calculation)…34 3.4.1 CORDIC演算法的工作原理……………………………34 3.4.2 CORDIC-based DCT architecture…………………39 第四章 各種DCT架構的效能分析…………………………………42 4.1 環境設定……………………………………………………42 4.2 實驗結果及分析……………………………………………44 4.2.1 面積……………………………………………………46 4.2.2 消耗功率………………………………………………47 4.2.3 失真度…………………………………………………49 4.3 分析總結……………………………………………………51 第五章 以人眼視覺感受為基礎的Hybrid DCT 架構……………52 2.1 人類的視覺感受……………………………………………52 2.2 將亮度訊號及彩度訊號飛離處理的Hybrid DCT 架構……54 第六章 以結構失真為基礎的影像品質評估………………………57 6.1 影像品質評估………………………………………………57 6.2 結構失真量測法(Structural Distortion Measurement)…58 6.2.1 量測的原理……………………………………………58 6.2.2 結構化相似指標(Structural Similarity index,SSIM)…59 6.3 影像及視訊品質的測量……………………………………61 第七章 Hybrid DCT 架構實驗結果與分析…………………………67 7.1 DCT架構的選用……………………………………………67 7.2 Hybrid DCT實作……………………………………………72 7.3 Hybrid DCT於MPEG系統的模擬結果……………………74 7.4 Hybrid DCT應用於JPEG系統的模擬結果…………………78 第八章 結論…………………………………………………………81 参考文獻………………………………………………………………82 作者簡介………………………………………………………………86

    参考文獻

    [1]Erol, B.; Kossentini, F.; Alnuweiri, H.,“Implementation of a fast
    H.263+encoder/decoder, ” Asilomar Conference on Signals, Systems &
    Computers, vol. 1, pp. 462-466, Sep. 1998.
    [2]戴顯權, 資料壓縮, 紳藍出版社, 2002.
    [3]陳同孝, 張真誠, 黃國峰, 數位影像處理技術, 松崗電腦圖書, 2001.
    [4]Iain E. G. Richardson “Video Codec Design-Developing Image and Video
    Compression Systems”, JOHN WILEY & SONS LTD, 2002.
    [5]W. K. Pratt, Digital Image Processing, Wiley-Interscience, New York, 1978.
    [6]Wen-Hsiung Chen; Smith, C.; Fralick, S.”A Fast Computational Algorithm for
    the Discrete Cosine Transform”, IEEE Trans. Communications, Volume: 25,
    Issue: 9, Pages: 1004-1009, Sep 1977.
    [7]Zhongde Wang,“Fast algorithms for the discrete W transform and for the
    discrete Fourier transform”, IEEE Trans. Acoustics, Speech, and Signal
    Processing , Volume: 32 , Issue: 4, Pages: 803- 816, Aug 1984.
    [8]Byeong Lee; “A new algorithm to compute the discrete cosine Transform”,
    IEEE Trans. Acoustics, Speech, and Signal Processing, Volume 32, Issue 6,
    Page(s):1243-1245, Dec 1984.
    [9]Vetterli, M., and Nussbaumer, H.: ‘Simple FFT and DCT algorithms
    with reduced number of operations’, Signal Process., pp. 264–278, 1984.
    [10]Suehiro, N., and Hatori, M.: ‘Fast algorithms for the DFT and other
    sinusoidal transforms’, IEEE Trans. Acoust. Speech Signal Process, ASSP-
    34, (3), pp. 642–664, 1986.
    [11]Hou, H.: ‘A fast recursive algorithm for computing the discrete cosine
    transform’, IEEE Trans. Acoust. Speech Signal Process., 1987, ASSP-35,
    (10), pp. 1455-1461.
    [12]Loeffler, C., Lightenberg, A., and Moschytz, G.S.: ‘Practical fast 1-D DCT
    algorithms with 11-multiplications’. Proc. ICASSP-89, Glasgow, UK, vol. 2,
    pp. 988-991, May 1989.
    [13]Loeffler, C.; Ligtenberg, A.; Moschytz,G.S.”Algorithm-architecture mapping
    for custom DSP chips”, IEEE International Symposium on Circuits and
    Systems, 1988, 7-9, vol. 2, pp. 1953-1956, June 1988
    [14]Tran, T.D.;” A fast multiplierless block transform for image and video
    compression”, International Conference on Image Processing, 1999.
    Proceedings. 1999 vol.3, 24-28, pp. 822-826, Oct. 1999.
    [15]Jie Liang; Tran, T.D.” Fast multiplierless approximations of the DCT with
    the lifting scheme”, IEEE Trans. Signal Processing, Volume 49, Issue 12,
    Page(s): 3032-3044, Dec. 2001.
    [16]Tran, T.D.;” The binDCT: fast multiplierless approximation of the DCT,”
    IEEE Signal Processing Letters., Vol. 7, Issue 6, pp. 141-144, June 2000.
    [17]J. E Volder, “The CORDIC trigonometric computing technique” IRE Trans.
    Electron. Comput. Vol. EC-8, no.3, pp 335-339, Sept.1959.
    [18]Mariatos, E.P.; Metafas, D.E.; Hallas, J.A.; Goutis, C.E. “A fast DCT
    processor, based on special purpose CORDIC rotators”, IEEE International
    Symposium on Circuits and Systems, vol. 4, pp. 271-274, 1994.
    [19]Hyeonuk Jeong; Jinsang Kim; Won-kyung Cho,”Low-power multiplierless DCT
    architecture using image correlation” IEEE Trans. Consumer Electronics,
    vol. 50, Issue: 1, pp. 262-267, Feb 2004.
    [20]Farag, E.N.; Elmasry, M.I.” Low-power implementation of discrete cosine
    transform” VLSI, 1996. Proceedings, Sixth Great Lakes Symposium on 22-23,
    pp. 174-177, March 1996.
    [21]Gonzalez, Woods, Digital Image Processing, 2002 by Prentice Hall.
    [22]P. C. Teo and D. J. Heeger, “Perceptual image distortion,” in Proc. SPIE,
    vol. 2179, pp. 127-141, 1994.
    [23]A. M. Eskicioglu and P. S. Fisher, “Image quality measures and their
    performance,“ IEEE Trans. Communications, vol. 43, pp. 2959-2965, DEC.
    1995.
    [24]B. Girod, “What`s wrong with mean-squared error,” in Digital Image and
    Human Vision, pp. 207-220, the MIT press, 1993.
    [25]Z. wang and A.C. Bovik, “A universal image quality index,” IEEE Signal
    Processing Letters, vol. 9, pp. 81-84, Mar. 2002.
    [26]Z. wang, A.C. Bovik, and L.Lu, “Why is image quality assessment so
    difficult?,” in Proc. IEEE Int. Conf. Acoust., Speech, and Signal
    Processing, May 2002.
    [27]Z. wang, H. R. Sheikh, and A. C. Bovik, “Objective video quality
    assessment,” in The Handbook of Video Databases: Design and Applications,
    CRC Press, 2003.
    [28]T. N. Pappers and R. J. Safranek, “Perceptual criteria for image quality
    evaluation,” in Handbook of Image and Video Proc. Academic Press, 2000.
    [29]M. P. Eckert and A. P. Bradley, :Perceptual quality metrics applied to
    still image compression,” Signal Processing, vol. 70, pp. 177-200, Nov.
    1998.
    [30]Z. Wang, L. Lu, and A. C. Bovik, “Video quality assessment based on
    structural distortion measurement,” Signal Processing: Image
    Communication, special issue on “Objective video quality metrics”, vol.
    19, no. 2, pp. 121-132, Feb. 2004.
    [31]The JPEG-6b Website, http://www.ijg.org/ , 1998.

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