Article ID Journal Published Year Pages File Type
10428614 Optik - International Journal for Light and Electron Optics 2013 7 Pages PDF
Abstract
In this paper we propose a novel algorithm to denoise medical images. The proposed method provides enhanced visual clarity to experts for utilizing such images during diagnosis. Medical images are unique in the fact that they are often low contrast and extremely noisy in nature because of the circumstances under which they are captured. Denoising these images without a priori knowledge of the noise PDF is always difficult and successful denoising of such images should not induce other artifacts or blurring of edges in the images. The proposed algorithm utilizes the technique of blind source separation (BSS) and the fractional Fourier transform to provide superior and stable denoising of medical images. The performance of the algorithm is compared with the recent genetic algorithm based wavelet thresholding method and the results are presented.
Related Topics
Physical Sciences and Engineering Engineering Engineering (General)
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