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.

This publication has 1 reference indexed in Scilit:

  • Rough sets
    International Journal of Parallel Programming, 1982