Abstract—After analyzing the basic theory of embedded
zerotree wavelet (EZW) coding algorithm, this paper brings
forward an improved method which rounds down the wavelet
coefficients and sets the coefficients appearing more frequent as
zero, so as to reduce scan frequency in algorithm and save the
storage space. Experimental results show that this algorithm
improves the coding efficiency on the one hand; and on the
other hand the quality of reconstructed image is also not
significantly decreased.
Index Terms—Frequency, image compression, wavelet
coefficients, embedded zerotree wavelets (EZW)
Yanjun Liu is with the College of Computer and Information Engineering,
Xinxiang University, Xinxiang, 453003, China (e-mail: lyjabb@163.com)
Zupeng Liu is with Department of Electronic and Communication
Engineering, Henan Mechanical and Electrical Engineering College,
Xinxiang, 453000, China.
[PDF]
Cite:Yanjun Liu and Zupeng Liu, "An Improved Image Compression Algorithm Based on
Embedded Zerotree Wavelets Transform," International Journal of Future Computer and Communication vol. 1, no. 4, pp. 385-388, 2012.
