A Medical Image Denoising Method using Subband Adaptive Thresholding Based on a Shearlet Transform

Authors

  • Miroslav Petrov St. Cyril and St. Methodius University of Veliko Turnovo Faculty of Mathematics and Informatics Department of Computer Systems and Technologies 5000, Veliko Turnovo, Bulgaria

DOI:

https://doi.org/10.55630/sjc.2016.10.219-230

Keywords:

Medical Image, Denoising, Shearlet Tresholding, Shannon Entropy, Rician Noise

Abstract

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.

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Published

2017-11-03

Issue

Vol. 10 No. 3-4 (2016)

Section

Articles