The image often contains noises due to several factors such as a problem in devices or due to an environmental problem etc. Noise is mainly undesired information, which degrades the quality of the picture. Therefore, image denoising method is adopted to remove the noises from the degraded image which in turn improve the quality of the image. In this paper, image denoising has been done by wavelet transform using Visu thresholding techniques for different wavelet families. PSNR (Peak signal to noise ratio) and RMSE (Root Mean Square Error) value is also calculated for different wavelet families.

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Abstract-Image usually gets distorted during acquisition, processing and transition. Now a day, Wavelet transform method is getting popular for image denoising. As wavelet transform has many advantages over other method such as best localization and multiresolution properties. Wavelet transform used various techniques for image denoising such as Visu shrink but this technique have disadvantage that it produce over smoothening of image which causes blur in the edges. So to overcome such problem we have proposed new method by modifying the Visu shrink thresholding techniques. We have compared our proposed method with the Visu thresholding technique on the basis of PSNR value for different wavelet families such as Haar, Daubechies, Biorthogonal, Symlet and Coiflet.