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一種基于低復雜度嵌入零塊編碼的遙感圖像壓縮編碼方法

吳家驥,  吳成柯

吳家驥, 吳成柯. 一種基于低復雜度嵌入零塊編碼的遙感圖像壓縮編碼方法[J]. 電子與信息學報, 2005, 27(3): 445-448.
引用本文: 吳家驥, 吳成柯. 一種基于低復雜度嵌入零塊編碼的遙感圖像壓縮編碼方法[J]. 電子與信息學報, 2005, 27(3): 445-448.
Wu Jia-ji, Wu Cheng-ke. A Remote Sensing Image Compression Algorithm Based on Low-Complexity Embedded Zeroblock Coder[J]. Journal of Electronics & Information Technology, 2005, 27(3): 445-448.
Citation: Wu Jia-ji, Wu Cheng-ke. A Remote Sensing Image Compression Algorithm Based on Low-Complexity Embedded Zeroblock Coder[J]. Journal of Electronics & Information Technology, 2005, 27(3): 445-448.

一種基于低復雜度嵌入零塊編碼的遙感圖像壓縮編碼方法

A Remote Sensing Image Compression Algorithm Based on Low-Complexity Embedded Zeroblock Coder

  • 摘要: 該文針對遙感圖像的數(shù)據(jù)特點,提出了一種新的遙感圖像編碼方法。它基于一種改進的小波變換嵌入零塊編碼算法。新算法中改進了零塊編碼中四叉樹分裂算法(quadtree),并設計亍新的鏈表生成和不重要集合排序策略。通過這些方法的改進,不僅提高了圖像編碼性能,同時還大大提高了運算效率。實驗表明該文闡述的算法具有很低的復雜度和高的壓縮率,PSNR和計算速度均超過SPIHT和SPECK。在1bpp下,該文方法的PSNR比SPIHT提高了0.3dB以上,計算速度比SPIHT提高了35％。
    Abstract: In this paper, a new coding approach to remote sensing images is proposed according to the statistical characteristic of remote sensing images data. The approach is based on an improved embedded, zeroblock-based, image wavelet transform coding algorithm. A modified quadtree algorithm and a new orderings strategy of List of Insignificant Sets (LIS) are proposed in new algorithm. By improving in this proposal, the performance of the embedded wavelet image coder is increased and a higher computing efficiency is obtained. The proposed algorithm exhibits a lower complexity, a more efficient compression ratio and a higher PSNR than SPIHT and SPECK. Experimental results show that the proposed method increases the PSNR by about 0.3dB over SPIHT, and beats SPIHT by 35% at the CPU time.
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  • Shapiro J M. Embedded image coding using zerotrees of wavelet coefficients[J].IEEE Trans. on Signal Processing.1993, 41(12):3445-[2]Said A, Pearlman W A. A new, fast and efficient image codec based on set partitioning in hierarchical trees[J].IEEE Trans. on Circuits and Systems for Video Technology.1996,6(3):243-[3]Asad Islam, Pearlman W A. An embedded and efficient low-complexity hierarchical image coder, in Proc. .[J].of SPIE Vol.3653,Visual Communications and Image Processing 99:-[4]Strobach P. Quadtree-structured recursive plane decomposition coding of images[J].IEEE Trans. on Signal Processing.1991, 39(6):1380-[5]Sullivan G, Baker A. Efficient quadtree coding of images and video[J].IEEE Trans. on Image Processing.1994, 3(3):327-[6]Andrew J. A simple and efficient hierarchical image coder. IEEE Int. Conf. on Image Proc. (ICIP-97), Washington, DC, 1997, 3:658 - 661.[7]Hsiang S T, Woods J W. Embedded image coding using zeroblock of subband/wavelet coefficients and context modeling. IEEE Int.Conf. on Circuits and Systems (ISCAS2000), Geneva,Switzerland, 2000, 3:662 - 665.[8]Ordentlich E, Weinberger M, Seroussi G. A low-complexity modeling approach for embedded coding of wavelet coefficients.in Proc. 1998 IEEE Data Compression Conference, Snowbird,Utah, 1998:408 - 417.[9]Antonini M, Barlaud M, Mathieu P, Daubechies I. Image coding using wavelet transform[J].IEEE Trans. on Image Processing.1992,1(2):205-
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出版歷程
  • 收稿日期:  2003-10-09
  • 修回日期:  2004-07-21
  • 刊出日期:  2005-03-19

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