Lossy dictionary-based image compression method

被引：7
|
作者：
Dudek, Gabriela [1 ]
Borys, Przemyslaw [1 ]
Grzywna, Zbigniew J. [1 ]
机构：
[1] Silesian Tech Univ, Sect Phys & Appl Math, Dept Phys Chem & Technol Polymers, Fac Chem, PL-44100 Gliwice, Poland
来源：
IMAGE AND VISION COMPUTING | 2007年 / 25卷 / 06期
关键词：
image; compression; LZ77; quantization; noise;
D O I：
10.1016/j.imavis.2006.07.001
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we report on the new method of image compression. The method is based on LZ77 dictionary algorithm. We introduce two modifications such as quantization and noise levels. Experimental results presented in this paper prove that the new method of image compression gives promising results as compared with original LZ77 dictionary algorithm and JPEG2000. (C) 2006 Elsevier B.V. All rights reserved.
引用
收藏
页码：883 / 889
页数：7
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