Adaptive complex wavelet technique for medical image denoising

Abstract

Medical images are generally of poor contrast and complex types of noise and blur. So denoising of images is an important role in processing and analysis of medical image. The purpose of the paper takes advantages of the adaptive denoising filter in the wavelet domain. The filter is based on the second derivative of Gaussian filters methods, and in particular generalizes an adaptive method proposed earlier by R.Duits [2]. We propose a new method which is based on the steerable complex wavelet construction. For improving of the proposed method, we have compared the results with the other recent methods such as ForWaRD [3], WaveD [1],... © Springer-Verlag 2010.