Image denoising based on multiwavelet shrinkage and subband enhancement
Xin Wang · 2008
To maintain more edge information in the process of image denoising,a new image denoising method based on multiwavelet threshold shrinkage and subband enhancement is presented.Based on multiwavelet transform(MWT),the MWT coefficients were divided into two categories,the coefficients associated with noise and the coefficients associated with edges.The coefficients associated with noise were reduced by soft threshold multiwavelet shrinkage.But this procedure is a non-linearity transformation and causes the edge smoothness.So subband enhancement function was introduced to enhance the edge related coefficients.The experimental results show that the presented denoising method can retain as many as possible the important signal features and increase the PSNR.Thus performs better than commonly used threshold shrinkage method.