Study of Image Compression Based on Wavelet Transform

被引:4
|
作者
Wang Yannan [1 ]
Zhang Shudong [1 ]
Liu Hui [1 ]
机构
[1] Capital Normal Univ, Coll Informat Engn, Beijing 100048, Peoples R China
关键词
Wavelet Transform; Image Compression; Wavelet Coefficients; Quantization; Coding;
D O I
10.1109/ISDEA.2013.536
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The key technology of image compression is that image data is transformed, the transformed data is quantized and the quantized data is entropy coding. Using wavelet image compression is a common method of image compression, and this paper uses wavelet transform, multi-resolution analysis and quantization and coding of different scale wavelet coefficients to achieve image compression. And at the same time, the paper adopts two different methods that the first method is to take the low frequency and abandon high frequency and the second method is the threshold method to achieve image compression. For the threshold method, it also takes different research programs in order to achieve high image compression.
引用
收藏
页码:575 / 578
页数:4
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