Image Denoising Using New Proposed Method Based on Wavelet Transform for Different Wavelet Families
Pushpa Koranga, Garima Singh, Dikendra Kumar Verma · International Journal of Engineering and Technology · 2017
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.