Image Denoising Based on the Bivariate Model of Dual Tree Complex Wavelet Transform

In our study, we designed a algorithm of image de-noising using the local adaptive window bivariate model based on dual tree complex wavelet transform (DTCWT). In the algorithm, we used the advantages of DTCWT with approximate shift invariance and well direction selectivity, and then according to the correlation of neighborhood coefficient we selected suitable size algorithm of neighborhood window to do bivariate model of image de-noising algorithm, so as to achieve a better noise reduction.