Image Compression Using Lifting Based Wavelet Transform Coupled With SPIHT Algorithm

被引：0
|
作者：
Kabir, Md. Ahasan [1 ]
Khan, M. A. Masud [1 ]
Islam, Md. Tajul [1 ]
Hossain, Md. Liton [1 ]
Mitul, Abu Farzan [1 ]
机构：
[1] Khulna Univ Engn & Technol, Khulna, Bangladesh
来源：
2013 INTERNATIONAL CONFERENCE ON INFORMATICS, ELECTRONICS & VISION (ICIEV) | 2013年
关键词：
Compression; wavelet; Lifting scheme; SPIHT; Entropy coding;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In the coming of era the digitized image is an important challenge to deal with the storage and transmission requirements of enormous data, including medical images. Compression is one of the indispensable techniques to solve this problem. In this paper, we propose an algorithm for medical image compression based on lifting base wavelet transform coupled with SPIHT (Set Partition in Hierarchical Trees) coding algorithm, of which we applied the lifting structure to improve the drawbacks of conventional wavelet transform. We compared the results with various wavelet based compression algorithm. Experimental results show that the proposed algorithm is superior to traditional methods for all tested images at low bit rate. Our algorithm provides better PSNR and MSSIM values for medical images only at low bit rate.
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页数：4
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