DocumentCode
691612
Title
Study of Image Compression Based on Wavelet Transform
Author
Wang Yannan ; Zhang Shudong ; Liu Hui
Author_Institution
Coll. of Inf. Eng., Capital Normal Univ., Beijing, China
fYear
2013
fDate
6-7 Nov. 2013
Firstpage
575
Lastpage
578
Abstract
The key technology of image compression is that image data is transformed, the transformed data is quantized aWavelet Transformnd 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.
Keywords
data compression; image coding; image resolution; quantisation (signal); wavelet transforms; entropy coding; high frequency; image data transformation; low frequency; multiresolution analysis; quantized data; scale wavelet coefficients; threshold method; wavelet image compression; wavelet transform; Image coding; MATLAB; Time-frequency analysis; Wavelet analysis; Wavelet domain; Wavelet transforms; Finite element analysis; Hybrid simulation model; Maglev; Suspension system;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems Design and Engineering Applications, 2013 Fourth International Conference on
Conference_Location
Zhangjiajie
Print_ISBN
978-1-4799-2791-3
Type
conf
DOI
10.1109/ISDEA.2013.536
Filename
6843513
Link To Document