Medical Image Denoising Shearlet Tresholding Shannon Entropy Rician Noise
Institute of Mathematics and Informatics Bulgarian Academy of Sciences
Serdica Journal of Computing, Vol. 10, No 3-4, (2016), 219p-230p
The image denoising process is of great importance when analyzing
images and their visualization. A major problem is finding the boundary
between clearing the noise and keeping the salient features in the images.
This paper proposes adaptive subband threshold image denoising in a shearlet
domain based on the Shannon entropy. The method does not suppose a
specific type of noise, it does not require data for its spectrum, nor does it
lead to highly complex computational algorithms.
ACM Computing Classification System (1998): I.5.4, I.4.3, I.4.5.