Survey on Histogram Equalization method based Image Enhancement techniques

C. R. Nithyananda; A. C. Ramachandra

doi:10.1109/SAPIENCE.2016.7684156

Survey on Histogram Equalization method based Image Enhancement techniques

C. R. Nithyananda^*
, A. C. Ramachandra
, Preethi

^*Corresponding author for this work

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

22 Citations (Scopus)

Abstract

Image Enhancement is the process of improving the image quality for better visibility of images. The visibility and look of image will be decided by human eyes, which varies from person to person. The images resulted by quality measures made by hardware and software may not be always good and are not having natural look. Many methods are introduced to enhance images. Histogram Equalization is the method in which, the histograms of the input images are altered to obtain the enhanced images. In this paper, we studied various methods of Histogram Equalization, the different types are briefly explained and placed in chronological order in table.

Original language	English
Title of host publication	Proceedings of 2016 International Conference on Data Mining and Advanced Computing, SAPIENCE 2016
Editors	Rajesh R
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	150-158
Number of pages	9
ISBN (Electronic)	9781467385947
DOIs	https://doi.org/10.1109/SAPIENCE.2016.7684156
Publication status	Published - 25-10-2016
Event	2016 International Conference on Data Mining and Advanced Computing, SAPIENCE 2016 - Ernakulam, India Duration: 16-03-2016 → 18-03-2016

Publication series

Name	Proceedings of 2016 International Conference on Data Mining and Advanced Computing, SAPIENCE 2016

Conference

Conference	2016 International Conference on Data Mining and Advanced Computing, SAPIENCE 2016
Country/Territory	India
City	Ernakulam
Period	16-03-16 → 18-03-16

All Science Journal Classification (ASJC) codes

Computer Science Applications
Hardware and Architecture
Computer Networks and Communications
Information Systems

Access to Document

10.1109/SAPIENCE.2016.7684156

Cite this

Nithyananda, C. R., Ramachandra, A. C., & Preethi (2016). Survey on Histogram Equalization method based Image Enhancement techniques. In R. R (Ed.), Proceedings of 2016 International Conference on Data Mining and Advanced Computing, SAPIENCE 2016 (pp. 150-158). Article 7684156 (Proceedings of 2016 International Conference on Data Mining and Advanced Computing, SAPIENCE 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SAPIENCE.2016.7684156

Nithyananda, C. R. ; Ramachandra, A. C. ; Preethi. / Survey on Histogram Equalization method based Image Enhancement techniques. Proceedings of 2016 International Conference on Data Mining and Advanced Computing, SAPIENCE 2016. editor / Rajesh R. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 150-158 (Proceedings of 2016 International Conference on Data Mining and Advanced Computing, SAPIENCE 2016).

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title = "Survey on Histogram Equalization method based Image Enhancement techniques",

abstract = "Image Enhancement is the process of improving the image quality for better visibility of images. The visibility and look of image will be decided by human eyes, which varies from person to person. The images resulted by quality measures made by hardware and software may not be always good and are not having natural look. Many methods are introduced to enhance images. Histogram Equalization is the method in which, the histograms of the input images are altered to obtain the enhanced images. In this paper, we studied various methods of Histogram Equalization, the different types are briefly explained and placed in chronological order in table.",

author = "Nithyananda, \{C. R.\} and Ramachandra, \{A. C.\} and Preethi",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 International Conference on Data Mining and Advanced Computing, SAPIENCE 2016 ; Conference date: 16-03-2016 Through 18-03-2016",

year = "2016",

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doi = "10.1109/SAPIENCE.2016.7684156",

language = "English",

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Nithyananda, CR, Ramachandra, AC & Preethi 2016, Survey on Histogram Equalization method based Image Enhancement techniques. in R R (ed.), Proceedings of 2016 International Conference on Data Mining and Advanced Computing, SAPIENCE 2016., 7684156, Proceedings of 2016 International Conference on Data Mining and Advanced Computing, SAPIENCE 2016, Institute of Electrical and Electronics Engineers Inc., pp. 150-158, 2016 International Conference on Data Mining and Advanced Computing, SAPIENCE 2016, Ernakulam, India, 16-03-16. https://doi.org/10.1109/SAPIENCE.2016.7684156

Survey on Histogram Equalization method based Image Enhancement techniques. / Nithyananda, C. R.; Ramachandra, A. C.; Preethi.
Proceedings of 2016 International Conference on Data Mining and Advanced Computing, SAPIENCE 2016. ed. / Rajesh R. Institute of Electrical and Electronics Engineers Inc., 2016. p. 150-158 7684156 (Proceedings of 2016 International Conference on Data Mining and Advanced Computing, SAPIENCE 2016).

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

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AB - Image Enhancement is the process of improving the image quality for better visibility of images. The visibility and look of image will be decided by human eyes, which varies from person to person. The images resulted by quality measures made by hardware and software may not be always good and are not having natural look. Many methods are introduced to enhance images. Histogram Equalization is the method in which, the histograms of the input images are altered to obtain the enhanced images. In this paper, we studied various methods of Histogram Equalization, the different types are briefly explained and placed in chronological order in table.

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Nithyananda CR, Ramachandra AC, Preethi. Survey on Histogram Equalization method based Image Enhancement techniques. In R R, editor, Proceedings of 2016 International Conference on Data Mining and Advanced Computing, SAPIENCE 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 150-158. 7684156. (Proceedings of 2016 International Conference on Data Mining and Advanced Computing, SAPIENCE 2016). doi: 10.1109/SAPIENCE.2016.7684156

Survey on Histogram Equalization method based Image Enhancement techniques

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