嵌入式零树小波编码的细胞图像无损压缩研究

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Study of cell images lossless compression based on the EZW algorithm

SUN Wan-rong(1,2);ZHONG Zheng-hui(2);YU Bian-zhang(1);ZHANG Xiao-jing(2)

(1) School of Electronics Information, Northwestern Polytechnic Univ., Xi’an 710072， China
(2) School of Electronics Engineering, Xidian Univ., Xi’an 710071， China

Received:1900-01-01 Revised:1900-01-01 Online:2006-04-20 Published:2006-04-20

Abstract

Abstract:

Several integer wavelet transforms are compared on marrow cell image energy distribution and their percentage of zero coefficients in every subband for higher performance of marrow cell image lossless compression. CDF(4,2) are found to be particularly good. A new method for threshold quantization is applied to EZW coding. Experimental results show that this approach can increase the number of zerotrees and improve the performance of compression.

Key words: integer wavelet transform, zerotree coding, image compression, marrow cell images, quantization threshold

CLC Number:

TN919.81

SUN Wan-rong(1;2);ZHONG Zheng-hui(2);YU Bian-zhang(1);ZHANG Xiao-jing(2).

Study of cell images lossless compression based on the EZW algorithm

[J].J4, 2006, 33(2): 327-332.

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Study of cell images lossless compression based on the EZW algorithm

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