Hi ...I am Rajani would like to get matlab codes for image denoising using genetic algorithm .I am an Engineering graduate in India,

This example discusses the problem of signal recovery from noisy data. The general denoising procedure involves three steps. The basic version of the procedure follows the steps described below:

Decompose: Choose a wavelet, choose a level N. Compute the wavelet decomposition of the signal at level N.
Threshold detail coefficients: For each level from 1 to N, select a threshold and apply soft thresholding to the detail coefficients.
Reconstruct: Compute wavelet reconstruction using the original approximation coefficients of level N and the modified detail coefficients of levels from 1 to N.
Two points must be addressed in particular:

how to choose the threshold,
and how to perform the thresholding.