Utilizing wavelet transform to image De-noising by

Abstract EN

Image de-noising and restoration represent basic problems in image processing with many different applications including engineering, reconstruction of missing data during their transmission and enhancement etc.

this work is aimed at developing effective algorithm for demising image using new strategy algorithm of wavelet techniques ,by applying two dimensions wavelet transform using Daubechies wavelet over the image and reordering all coefficient of 4 sub images in one row vector C (in each decomposition level) and threshold this vector where the threshold value equal to STD of vector C.

The Proposed method is verified for different data where applied for processing of various images, different levels and different noises.

The analysis results have indicated that the performance of suggested method is a good threshold ding strategy where the constructed images are good quality and less distorted.

The Matlab programming environment has been used to realize the algorithms and to obtain the presented results.