Title :
The technology research in decomposition and reconstruction of image based on two-dimensional wavelet transform
Author :
Zhang Xin-yang ; Zhang Ren-jin
Author_Institution :
Dept. Coll. of Math. & Comput. Sci., Guizhou Normal Univ., Guiyang, China
Abstract :
Wavelet is the last decade developed and quickly applied to a mathematical tool in many areas of image processing and speech analysis is a new breakthrough following Fourier (Joseph Fourier) analysis. Wavelet transform analysis of the local characteristics of the digital signal can depend on the scale stretching and displacement transformation, and then show the essential characteristics of digital signals within the. Firstly, the principle of the wavelet transform algorithm, and then use the two-dimensional discrete wavelet transform image decomposition and reconstruction, and experiments carried out by using MATLAB software environment. The desired results of experiments on wavelet transform image processing capability has been fully affirmed.
Keywords :
Fourier transforms; image reconstruction; wavelet transforms; Fourier analysis; displacement transformation; image processing; scale stretching; speech analysis; two-dimensional discrete wavelet transform image decomposition; two-dimensional discrete wavelet transform image reconstruction; wavelet transform analysis; Continuous wavelet transforms; Discrete wavelet transforms; Image reconstruction; MATLAB; Wavelet analysis; image decomposition and reconstruction; of MATLAB; wavelet analysis; wavelet transform;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
Conference_Location :
Sichuan
Print_ISBN :
978-1-4673-0025-4
DOI :
10.1109/FSKD.2012.6234204