Chest Radiographs Enhancement with Contrast Limited Adaptive Histogram

Hyeri Lee; Hyunseung Choo; Duc Tai Le; Junghyun Bum

doi:10.1109/IMCOM56909.2023.10035649

Chest Radiographs Enhancement with Contrast Limited Adaptive Histogram

Hyeri Lee
, Hyunseung Choo
, Duc Tai Le
, Junghyun Bum

Department of Computer Science and Engineering

Sungkyunkwan University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Among all the image contrast enhancement methods, histogram equalization is the most widely used. However, conventional histogram equalization causes the entire image to be too bright, resulting in noise generation as a consequence of excessive brightness changes and information loss when the histogram is intensively distributed into a specific amount of brightness. The Contrast Limited Adaptive Histogram Equalization (CLAHE) algorithm is designed to address these limitations. To avoid overamplifying brightness variations, CLAHE clips the histogram of an input image to make it uniformly distributed. This study employs the CLAHE algorithm to improve contrast in chest radiographs, with the expected result that lung disease diagnosis will be more accurate.

Original language	English
Title of host publication	Proceedings of the 2023 17th International Conference on Ubiquitous Information Management and Communication, IMCOM 2023
Editors	Sukhan Lee, Hyunseung Choo, Roslan Ismail
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665453486
DOIs	https://doi.org/10.1109/IMCOM56909.2023.10035649
State	Published - 2023
Event	17th International Conference on Ubiquitous Information Management and Communication, IMCOM 2023 - Seoul, Korea, Republic of Duration: 3 Jan 2023 → 5 Jan 2023

Publication series

Name	Proceedings of the 2023 17th International Conference on Ubiquitous Information Management and Communication, IMCOM 2023

Conference

Conference	17th International Conference on Ubiquitous Information Management and Communication, IMCOM 2023
Country/Territory	Korea, Republic of
City	Seoul
Period	3/01/23 → 5/01/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Chest Radiographs(X-ray)
CLAHE
Contrast Enhancement
Histogram Equalization
Medical Image Restoration

Access to Document

10.1109/IMCOM56909.2023.10035649

Cite this

Lee, H., Choo, H., Le, D. T., & Bum, J. (2023). Chest Radiographs Enhancement with Contrast Limited Adaptive Histogram. In S. Lee, H. Choo, & R. Ismail (Eds.), Proceedings of the 2023 17th International Conference on Ubiquitous Information Management and Communication, IMCOM 2023 (Proceedings of the 2023 17th International Conference on Ubiquitous Information Management and Communication, IMCOM 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IMCOM56909.2023.10035649

Lee, Hyeri ; Choo, Hyunseung ; Le, Duc Tai et al. / Chest Radiographs Enhancement with Contrast Limited Adaptive Histogram. Proceedings of the 2023 17th International Conference on Ubiquitous Information Management and Communication, IMCOM 2023. editor / Sukhan Lee ; Hyunseung Choo ; Roslan Ismail. Institute of Electrical and Electronics Engineers Inc., 2023. (Proceedings of the 2023 17th International Conference on Ubiquitous Information Management and Communication, IMCOM 2023).

@inproceedings{80b7563a3c824285b9c8803dcc94efb1,

title = "Chest Radiographs Enhancement with Contrast Limited Adaptive Histogram",

abstract = "Among all the image contrast enhancement methods, histogram equalization is the most widely used. However, conventional histogram equalization causes the entire image to be too bright, resulting in noise generation as a consequence of excessive brightness changes and information loss when the histogram is intensively distributed into a specific amount of brightness. The Contrast Limited Adaptive Histogram Equalization (CLAHE) algorithm is designed to address these limitations. To avoid overamplifying brightness variations, CLAHE clips the histogram of an input image to make it uniformly distributed. This study employs the CLAHE algorithm to improve contrast in chest radiographs, with the expected result that lung disease diagnosis will be more accurate.",

keywords = "Chest Radiographs(X-ray), CLAHE, Contrast Enhancement, Histogram Equalization, Medical Image Restoration",

author = "Hyeri Lee and Hyunseung Choo and Le, \{Duc Tai\} and Junghyun Bum",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 17th International Conference on Ubiquitous Information Management and Communication, IMCOM 2023 ; Conference date: 03-01-2023 Through 05-01-2023",

year = "2023",

doi = "10.1109/IMCOM56909.2023.10035649",

language = "English",

series = "Proceedings of the 2023 17th International Conference on Ubiquitous Information Management and Communication, IMCOM 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

editor = "Sukhan Lee and Hyunseung Choo and Roslan Ismail",

booktitle = "Proceedings of the 2023 17th International Conference on Ubiquitous Information Management and Communication, IMCOM 2023",

}

Lee, H, Choo, H, Le, DT & Bum, J 2023, Chest Radiographs Enhancement with Contrast Limited Adaptive Histogram. in S Lee, H Choo & R Ismail (eds), Proceedings of the 2023 17th International Conference on Ubiquitous Information Management and Communication, IMCOM 2023. Proceedings of the 2023 17th International Conference on Ubiquitous Information Management and Communication, IMCOM 2023, Institute of Electrical and Electronics Engineers Inc., 17th International Conference on Ubiquitous Information Management and Communication, IMCOM 2023, Seoul, Korea, Republic of, 3/01/23. https://doi.org/10.1109/IMCOM56909.2023.10035649

Chest Radiographs Enhancement with Contrast Limited Adaptive Histogram. / Lee, Hyeri; Choo, Hyunseung; Le, Duc Tai et al.
Proceedings of the 2023 17th International Conference on Ubiquitous Information Management and Communication, IMCOM 2023. ed. / Sukhan Lee; Hyunseung Choo; Roslan Ismail. Institute of Electrical and Electronics Engineers Inc., 2023. (Proceedings of the 2023 17th International Conference on Ubiquitous Information Management and Communication, IMCOM 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Chest Radiographs Enhancement with Contrast Limited Adaptive Histogram

AU - Lee, Hyeri

AU - Choo, Hyunseung

AU - Le, Duc Tai

AU - Bum, Junghyun

PY - 2023

Y1 - 2023

N2 - Among all the image contrast enhancement methods, histogram equalization is the most widely used. However, conventional histogram equalization causes the entire image to be too bright, resulting in noise generation as a consequence of excessive brightness changes and information loss when the histogram is intensively distributed into a specific amount of brightness. The Contrast Limited Adaptive Histogram Equalization (CLAHE) algorithm is designed to address these limitations. To avoid overamplifying brightness variations, CLAHE clips the histogram of an input image to make it uniformly distributed. This study employs the CLAHE algorithm to improve contrast in chest radiographs, with the expected result that lung disease diagnosis will be more accurate.

AB - Among all the image contrast enhancement methods, histogram equalization is the most widely used. However, conventional histogram equalization causes the entire image to be too bright, resulting in noise generation as a consequence of excessive brightness changes and information loss when the histogram is intensively distributed into a specific amount of brightness. The Contrast Limited Adaptive Histogram Equalization (CLAHE) algorithm is designed to address these limitations. To avoid overamplifying brightness variations, CLAHE clips the histogram of an input image to make it uniformly distributed. This study employs the CLAHE algorithm to improve contrast in chest radiographs, with the expected result that lung disease diagnosis will be more accurate.

KW - Chest Radiographs(X-ray)

KW - CLAHE

KW - Contrast Enhancement

KW - Histogram Equalization

KW - Medical Image Restoration

UR - https://www.scopus.com/pages/publications/85148652148

U2 - 10.1109/IMCOM56909.2023.10035649

DO - 10.1109/IMCOM56909.2023.10035649

M3 - Conference contribution

AN - SCOPUS:85148652148

T3 - Proceedings of the 2023 17th International Conference on Ubiquitous Information Management and Communication, IMCOM 2023

BT - Proceedings of the 2023 17th International Conference on Ubiquitous Information Management and Communication, IMCOM 2023

A2 - Lee, Sukhan

A2 - Choo, Hyunseung

A2 - Ismail, Roslan

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 17th International Conference on Ubiquitous Information Management and Communication, IMCOM 2023

Y2 - 3 January 2023 through 5 January 2023

ER -

Lee H, Choo H, Le DT, Bum J. Chest Radiographs Enhancement with Contrast Limited Adaptive Histogram. In Lee S, Choo H, Ismail R, editors, Proceedings of the 2023 17th International Conference on Ubiquitous Information Management and Communication, IMCOM 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (Proceedings of the 2023 17th International Conference on Ubiquitous Information Management and Communication, IMCOM 2023). doi: 10.1109/IMCOM56909.2023.10035649

Chest Radiographs Enhancement with Contrast Limited Adaptive Histogram

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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