TELKOMNIKA (Telecommunication Computing Electronics and Control)
Vol 14, No 3: September 2016

Medical Image Contrast Enhancement via Wavelet Homomorphic Filtering Transform

Xinmin Zhou (Hunan University of Commerce)
Ying Zheng (Tongji University)
Lina Tan (Hunan University of Commerce)
Junchan Zhao (Hunan University of Commerce)



Article Info

Publish Date
01 Sep 2016

Abstract

A novel enhancement algorithm for magnetic resonance (MR) images based on spatial homomorphic filtering transform is proposed in this paper. By this method, the source image is decomposed into different sub-images by dyadic wavelet transform. Homomorphic filtering functions are applied in performing filtering of corresponding sub-band images to attenuate the low frequencies as well as amplify the high frequencies, and a linear adjustment is carried out on the low frequency of the highest level. Later, inverse dyadic wavelet transform is applied to reconstruct the object image. Experiment results on MR images illustrate that the proposed method can eliminate non-uniformity luminance distribution effectively, some subtle tissues can be improved effectually, and some weak sections have not been smoothed by the novel method. 

Copyrights © 2016






Journal Info

Abbrev

TELKOMNIKA

Publisher

Subject

Computer Science & IT

Description

Submitted papers are evaluated by anonymous referees by single blind peer review for contribution, originality, relevance, and presentation. The Editor shall inform you of the results of the review as soon as possible, hopefully in 10 weeks. Please notice that because of the great number of ...