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.

Keywords

• ridgelet
• contourlet
• khử nhiểu ảnh y khoa. x-let