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DC恢复算法及其在图像压缩编码中的应用 被引量：3

DC recovering algorithm and its application in the image compression
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摘要 DC恢复算法是一种基于离散余弦变换(DCT)的图像恢复算法,其能够应用于图像压缩编码中对DC系数的预测中。该方法利用了块分割图像在相邻块边缘区域的像素依然连续这一特点,利用周边块像素信息选择较为连续的相邻块对DC系数进行预测恢复。实验验证了其能对DC系数的进行更为准确的预测,从而达到提高图像压缩率的目的。 A DC recovering algorithm is an image recovering algorithm based on DCT. In this paper, it is applied to the image compression. The pixel values of the block-based image are continuous along the edge of blocks. DC recovering algorithm recovers DC coefficients by choosing the neighboring blocks with more continuous edges. The experimental results prove that DC coefficients are predicted more accurately in the image compression, and the image compression rate is improved.
作者 查宣威 岑峰
机构地区 同济大学电子与信息工程学院
出处 《微型机与应用》 2013年第1期37-39,共3页 Microcomputer & Its Applications
基金 国家自然科学基金项目(60972035)
关键词 压缩域 JPEG 离散余弦变换 compressed domain JPEG discrete cosine transform
分类号 TN911 [电子电信—通信与信息系统]
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参考文献7

  • 1O'NEAL J B. Predictive quantizing differential pulse code modulation for the transmission of television signals[J].Bell System Technical Journal,1966,(15):689-722.
  • 2MUSMANN H G. Predictive image coding.Image Transmission Techniques[M].New York:Academic Press,Inc,1979.73-112.
  • 3GRAHAM R E. Predictive quantizing of television signals[M].IRE Wescon.Convention Record,1958.147-157.
  • 4COHEN P,ADOUL J P. Adaptive differential coding of picture signals based on a local contour prediction[A].1976.1-5.
  • 5UEHARA T,SAFAVI-NAINI R,OGUNBONA P. Recovering DC coefficients in block-based DCT[J].IEEE Transactions on Image Processing,2006,(11):3592-3596.
  • 6Li Shujun,AHMAD J J,SAUPE D. An improved DC recovery method from AC coefficients of DCT-transformed images[A].2010.2085-2088.
  • 7The Independent JPEG Group. JPEG Software Release 8c (j pegsr8c)[DB/OL].http://www.ijg.org,2012.

同被引文献23

  • 1吕梅蕾,黄云龙.基于矢量量化的高效BTC图像编码算法[J].计算机应用与软件,2004,21(8):75-77. 被引量：1
  • 2朱艳秋,陈贺新,戴逸松.彩色图像三维矩阵变换压缩编码[J].电子学报,1997,25(7):16-21. 被引量：22
  • 3DELP E J, MITCHEI,I,O R. hnage compression using block truncation coding[J]. IEEE Transactions on Comm- unications, 1979,27(9): 1335- 1342.
  • 4LEMA M, MITCHELL O R. Ahsolute moment block trun- cation coding and its application to colo rimages[J]. IEEE Transactions on Communications, 1984, 32 (10) :1148 - 1157.
  • 5BOUFOUNOS P T,BARANIUK R G.1-bit compressive sensing[C].Proc 42ndAnnual Conference on Information Sciences and Systems(CISS),Princeton NJ,2008:16-21.
  • 6Cai Xiao,Zhang Zhaoyang,Zhang Huazi,et al.Soft consistency reconstruction:a robust 1-bit compressive sensing algorithm[C].Communication(ICC),2014 IEEE International Conference on,10.1109/ICC,2014:4530-4535.
  • 7BOUFOUNOS P.Greedy sparse signal reconstruction from sign measurements[C].Proc.Asilomar Conf.on Signals Systems and Comput,California,2009:1305-5301.
  • 8LASKA J N,WEN Z,YIN W,et al.Trust,but verify:fast and accurate signal recovery from 1-bit compressive measurements[J].IEEE Transactions on Signal Processing,2011,59(11):5289-5301.
  • 9YAN M,YANG Y,OSHER S.Robust 1-bit compressive sensing using adaptive outlier pursuit[C].IEEE Transactions on Signal Processing,July,2012,2012:60(7):3868-3875.
  • 10MOVAHED A,PANAHI A,DURISI G.A robust RFPI-based1-bit compressive sensing reconstruction algorithm[C].Information Theory Workshop(ITW),2012 IEEE,2012:567-571.

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微型机与应用
2013年 第1期

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