MR Image Contrast Enhancement by Wavelet-based Contourlet Transform

The contrast of magnetic resonance (MR) image local regions is low, edges blurred and image contains noise. To improve image contrast of local regions and solve the problem of noise enlarging, an MR image contrast enhancement algorithm by wavelet-based contourlet transform (WBCT) was put forward in...

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Main Authors: Zhongliang Luo, Yingbiao Jia
Format: Article
Language:English
Published: Bulgarian Academy of Sciences 2016-06-01
Series:International Journal Bioautomation
Subjects:
Online Access:http://www.biomed.bas.bg/bioautomation/2016/vol_20.2/files/20.2_09.pdf
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author Zhongliang Luo
Yingbiao Jia
author_facet Zhongliang Luo
Yingbiao Jia
author_sort Zhongliang Luo
collection DOAJ
description The contrast of magnetic resonance (MR) image local regions is low, edges blurred and image contains noise. To improve image contrast of local regions and solve the problem of noise enlarging, an MR image contrast enhancement algorithm by wavelet-based contourlet transform (WBCT) was put forward in this paper. Firstly, MR images were decomposed into low-pass and a series of high-pass sub-band images by WBCT, then algorithm adjustment coefficients of sub-band images were used through an enhancement operator. Finally, the contrast enhanced image was obtained by inverse WBCT. Compared with several image enhancement algorithms, the experimental results demonstrated that the ability of the proposed method in highlighting MR image's subtle features and preserving edges while suppressing noise. The contrast enhanced image had better visual effect, which is beneficial to doctor for diagnosing diseases.
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spelling doaj.art-b5e1c2ad39ed40488478a67334dd8b3c2022-12-22T03:45:39ZengBulgarian Academy of SciencesInternational Journal Bioautomation1314-19021314-23212016-06-01202265278MR Image Contrast Enhancement by Wavelet-based Contourlet TransformZhongliang Luo0Yingbiao JiaSchool of Information Science and Engineering, Shaoguang University, Shaoguan 512005, ChinaThe contrast of magnetic resonance (MR) image local regions is low, edges blurred and image contains noise. To improve image contrast of local regions and solve the problem of noise enlarging, an MR image contrast enhancement algorithm by wavelet-based contourlet transform (WBCT) was put forward in this paper. Firstly, MR images were decomposed into low-pass and a series of high-pass sub-band images by WBCT, then algorithm adjustment coefficients of sub-band images were used through an enhancement operator. Finally, the contrast enhanced image was obtained by inverse WBCT. Compared with several image enhancement algorithms, the experimental results demonstrated that the ability of the proposed method in highlighting MR image's subtle features and preserving edges while suppressing noise. The contrast enhanced image had better visual effect, which is beneficial to doctor for diagnosing diseases.http://www.biomed.bas.bg/bioautomation/2016/vol_20.2/files/20.2_09.pdfImage contrast enhancementWavelet-based contourlet transformMagnetic resonance imageNonlinear
spellingShingle Zhongliang Luo
Yingbiao Jia
MR Image Contrast Enhancement by Wavelet-based Contourlet Transform
International Journal Bioautomation
Image contrast enhancement
Wavelet-based contourlet transform
Magnetic resonance image
Nonlinear
title MR Image Contrast Enhancement by Wavelet-based Contourlet Transform
title_full MR Image Contrast Enhancement by Wavelet-based Contourlet Transform
title_fullStr MR Image Contrast Enhancement by Wavelet-based Contourlet Transform
title_full_unstemmed MR Image Contrast Enhancement by Wavelet-based Contourlet Transform
title_short MR Image Contrast Enhancement by Wavelet-based Contourlet Transform
title_sort mr image contrast enhancement by wavelet based contourlet transform
topic Image contrast enhancement
Wavelet-based contourlet transform
Magnetic resonance image
Nonlinear
url http://www.biomed.bas.bg/bioautomation/2016/vol_20.2/files/20.2_09.pdf
work_keys_str_mv AT zhongliangluo mrimagecontrastenhancementbywaveletbasedcontourlettransform
AT yingbiaojia mrimagecontrastenhancementbywaveletbasedcontourlettransform