%0 Journal Article
%T Image Compression Based on Integer Wavelet Transform and Improved Embedded Zerotree Wavelet Encoding<br>基于整数小波变换和改进嵌入零树编码的图像压缩
%A Ding Xu-xing
%A Zhu Ri-hong
%A Li Jian-xin
%A <br>丁绪星
%A 朱日宏
%A 李建欣
%J 电子与信息学报
%D 2004
%I 
%X The main advantages of Integer Wavelet Transform(IWT) are that the input and output values are all integers, all operations can be done in place, only a small memory is required and easy to be implemented in hardware. In the context of image coding, IWT is well suited for lossless compression. However, it performs a little worse compared to the conventional Discrete Wavelet Transform(DWT) for lossy compression. In this paper, a new algorithm is proposed for improving lossy compression performance of IWT. It is by means of the IWT based on lifting scheme combining with improved Embedded Zerotree Wavelet(EZW) based on morphological dilation operation. Simulation results show the proposed algorithm improves the Peak Signal Noise Ratio(PSNR) compared to conventional DWT without increasing computational complexity.
%K Integer wavelet transform
%K Embedded zerotree wavelet coding
%K Morphological operation
%K Image compression<br>整数小波变换
%K 嵌入零树小波编码
%K 形态运算
%K 图像压缩
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=217318F7BA7B84A2&yid=D0E58B75BFD8E51C&vid=96C778EE049EE47D&iid=DF92D298D3FF1E6E&sid=941A3E905B9F2AD9&eid=81A5772701933E75&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=3&reference_num=17