A Case Study on Contourlet and Ridgelet in Denoising Medical Images

Abstract

A  special  member  of  the  transforming  of  multiscale  in  the  frequency  domain has  been  proposed  and  developed  in  the  last  few  years  ago.  We  mention  here  some transformations after X-let generation such as: Ridgelet, Contourlet, Bandelet [1,2,3,4]. Denoising image has been an important field in image processing, especially on medical image  [7,8,9].  In  order  to  diagnosing  more  and  more  exactly,  the  noise  must  have been removed completely after acquiring from the machine. This paper introduces the comparison of two model transform for denoising medical image. The results show that the Contourlet transform has more efficiency than the Ridgelet transform.