An Adaptive Method of Image De-noising based on Discrete Wavelet Transform

IJSER © 2013 http://www.ijser.org Abstract — This paper presents the Wavelet based Image De-noising. The search for efficient image De-noising methods is still a valid challenge at the crossing of functional analysis and statistics using discrete wavelet transform. De-noising of stationary images corrupted by Gaussian noise using wavelet techniques is very effective because of its ability to capture the energy of a signal in few energy transform values. This paper is an investigation that has been made out on suitability of image de-noising based on in thresholding normal and adaptive technique. De-noising of image is shown in terms of PSNR. Some other way of result evaluation in terms of MSE and visual performance is also shown.