research-article

Multiscale X-ray image contrast enhancement based on limited adaptive histogram equalization

Authors:

Yaoqin XieAuthors Info & Claims

ICIMCS '13: Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service

Pages 231 - 236

https://doi.org/10.1145/2499788.2499793

Published: 17 August 2013 Publication History

Abstract

In this paper, a novel image contrast enhancement method, based on multiscale transform and contrast limited adaptive histogram equalization, is proposed for enhancing the X-ray images. Firstly, the Laplacian pyramid based the multiscale transform is adopted to decompose the input image, which can extract the characteristic of multiscale the image. Secondly, the contrast limited adaptive histogram equalization (CLAHE) is used for enhancing the contrast of image. Comparing with the traditional adaptive histogram equalization (AHE) and global histogram equalization, the CLAHE effectively intensifies the image at the same time restrains noise enlarged. In order to make the enhanced image become more smoothing, we adjust the contrast of low frequency coefficients. Finally, the inverse Laplacian pyramid transform is applied to reconstruct image which can obtain the enhanced image. We tested the proposed algorithm on medical X-ray images, and experimental results show that the presented algorithm is effective for contrast enhancement of image. The performance evaluation of the proposed algorithm uses the contrast evaluation criterion for image and information entropy.

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Cited By

Mamatov NErejepov KJalelova MNarzullayev ISamijonov A(2024)X-ray Image Contrast Enhancement Approach2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC)10.1109/ICAAIC60222.2024.10575386(1293-1297)Online publication date: 5-Jun-2024
https://doi.org/10.1109/ICAAIC60222.2024.10575386
Bian WYang Y(2023)Fast bilateral weighted least square for the detail enhancement of COVID-19 chest X-raysDIGITAL HEALTH10.1177/205520762312009819Online publication date: 11-Sep-2023
https://doi.org/10.1177/20552076231200981
Loppini MGambaro FChiappetta KGrappiolo GBianchi ACorino V(2022)Automatic Identification of Failure in Hip Replacement: An Artificial Intelligence ApproachBioengineering10.3390/bioengineering90702889:7(288)Online publication date: 29-Jun-2022
https://doi.org/10.3390/bioengineering9070288
Show More Cited By

Index Terms

Multiscale X-ray image contrast enhancement based on limited adaptive histogram equalization
1. Information systems
  1. Data management systems

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cover image ACM Other conferences

ICIMCS '13: Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service

August 2013

419 pages

ISBN:9781450322522

DOI:10.1145/2499788

Conference Chair:
Tat-Seng Chua
National University of Singapore, Singapore
,
General Chairs:
Ke Lu
University of Chinese Academy of Sciences, China
,
Tao Mei
Microsoft Research Asia, China
,
Xindong Wu
Hefei University of Technology, China

Copyright © 2013 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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NSF of China: National Natural Science Foundation of China
University of Sciences & Technology, Hefei: University of Sciences & Technology, Hefei
Beijing ACM SIGMM Chapter

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 August 2013

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Funding Sources

Ministry of Science and Technology of the People's Republic of China
Hong Kong and Macao Young Scholars
National Natural Science Foundation of China

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ICIMCS '13

Sponsor:

NSF of China
University of Sciences & Technology, Hefei

ICIMCS '13: International Conference on Internet Multimedia Computing and Service

August 17 - 19, 2013

Huangshan, China

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ICIMCS '13 Paper Acceptance Rate 20 of 94 submissions, 21%;

Overall Acceptance Rate 163 of 456 submissions, 36%

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Cited By

Mamatov NErejepov KJalelova MNarzullayev ISamijonov A(2024)X-ray Image Contrast Enhancement Approach2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC)10.1109/ICAAIC60222.2024.10575386(1293-1297)Online publication date: 5-Jun-2024
https://doi.org/10.1109/ICAAIC60222.2024.10575386
Bian WYang Y(2023)Fast bilateral weighted least square for the detail enhancement of COVID-19 chest X-raysDIGITAL HEALTH10.1177/205520762312009819Online publication date: 11-Sep-2023
https://doi.org/10.1177/20552076231200981
Loppini MGambaro FChiappetta KGrappiolo GBianchi ACorino V(2022)Automatic Identification of Failure in Hip Replacement: An Artificial Intelligence ApproachBioengineering10.3390/bioengineering90702889:7(288)Online publication date: 29-Jun-2022
https://doi.org/10.3390/bioengineering9070288
Abin DD.Thepade SDhore S(2021)An Empirical Study of Dehazing Techniques for Chest X-Ray in Early Detection of Pneumonia2021 2nd International Conference for Emerging Technology (INCET)10.1109/INCET51464.2021.9456201(1-5)Online publication date: 21-May-2021
https://doi.org/10.1109/INCET51464.2021.9456201

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