IMAGE DE-NOISING USING MULTI-SCALE TRANSFORM BASED TECHNIQUE

This paper aims in presenting a comparative analysis of Multi-scale Transform (MST) based de-noising techniques. MST based image de-noising techniques overcome the limitation of Fourier transform and spatial based de-nosing techniques, as it provides the local information of non stationary image in a more comprehensive manner. The MST techniques, namely, Discrete Wavelet Transform (DWT), Stationary Wavelet Transform (SWT) and Contour-let Transform (CT) have been selected for the de-nosing of standard and medical images. Further, the comparison of performance of different image de-noising technique has been carried out in terms of different noise variances, subjective and quantitative measures. Analysis of result shows that CT technique outperforms SWT and DWT techniques in terms of both qualitatively and quantitatively.