Density-Based Histogram Partitioning and Local Equalization for Contrast Enhancement of Images
Histogram Equalization technique is one of the basic methods in image contrast enhancement. Using this method, in the case of images with uniform gray levels (with narrow histogram), causes loss of image detail and the natural look of the image. To overcome this problem and to have a better image co...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Shahrood University of Technology
2018-03-01
|
Series: | Journal of Artificial Intelligence and Data Mining |
Subjects: | |
Online Access: | http://jad.shahroodut.ac.ir/article_910_40ddeb2b39e986398d5be4cd883883a5.pdf |
_version_ | 1828156659960119296 |
---|---|
author | M. Shakeri M.H. Dezfoulian H. Khotanlou |
author_facet | M. Shakeri M.H. Dezfoulian H. Khotanlou |
author_sort | M. Shakeri |
collection | DOAJ |
description | Histogram Equalization technique is one of the basic methods in image contrast enhancement. Using this method, in the case of images with uniform gray levels (with narrow histogram), causes loss of image detail and the natural look of the image. To overcome this problem and to have a better image contrast enhancement, a new two-step method was proposed. In the first step, the image histogram is partitioned into some sub-histograms according to mean value and standard deviation, which will be controlled with PSNR measure. In the second step, each sub-histogram will be improved separately and locally with traditional histogram equalization. Finally, all sub-histograms will be combined to obtain the enhanced image. Experimental results shows that this method would not only keep the visual details of the histogram, but also enhance image contrast. |
first_indexed | 2024-04-11T23:14:49Z |
format | Article |
id | doaj.art-ef456ebbb6cb4372b7bfa8b27ed158ee |
institution | Directory Open Access Journal |
issn | 2322-5211 2322-4444 |
language | English |
last_indexed | 2024-04-11T23:14:49Z |
publishDate | 2018-03-01 |
publisher | Shahrood University of Technology |
record_format | Article |
series | Journal of Artificial Intelligence and Data Mining |
spelling | doaj.art-ef456ebbb6cb4372b7bfa8b27ed158ee2022-12-22T03:57:40ZengShahrood University of TechnologyJournal of Artificial Intelligence and Data Mining2322-52112322-44442018-03-016111210.22044/jadm.2017.910910Density-Based Histogram Partitioning and Local Equalization for Contrast Enhancement of ImagesM. Shakeri0M.H. Dezfoulian1H. Khotanlou2Department of Computer Engineering, Bu-Ali Sina University, Hamedan, Iran.Department of Computer Engineering, Bu-Ali Sina University, Hamedan, Iran.Department of Computer Engineering, Bu-Ali Sina University, Hamedan, Iran.Histogram Equalization technique is one of the basic methods in image contrast enhancement. Using this method, in the case of images with uniform gray levels (with narrow histogram), causes loss of image detail and the natural look of the image. To overcome this problem and to have a better image contrast enhancement, a new two-step method was proposed. In the first step, the image histogram is partitioned into some sub-histograms according to mean value and standard deviation, which will be controlled with PSNR measure. In the second step, each sub-histogram will be improved separately and locally with traditional histogram equalization. Finally, all sub-histograms will be combined to obtain the enhanced image. Experimental results shows that this method would not only keep the visual details of the histogram, but also enhance image contrast.http://jad.shahroodut.ac.ir/article_910_40ddeb2b39e986398d5be4cd883883a5.pdfContrast EnhancementHistogram ModificationImage Quality EvaluationImage Quality Enhancement |
spellingShingle | M. Shakeri M.H. Dezfoulian H. Khotanlou Density-Based Histogram Partitioning and Local Equalization for Contrast Enhancement of Images Journal of Artificial Intelligence and Data Mining Contrast Enhancement Histogram Modification Image Quality Evaluation Image Quality Enhancement |
title | Density-Based Histogram Partitioning and Local Equalization for Contrast Enhancement of Images |
title_full | Density-Based Histogram Partitioning and Local Equalization for Contrast Enhancement of Images |
title_fullStr | Density-Based Histogram Partitioning and Local Equalization for Contrast Enhancement of Images |
title_full_unstemmed | Density-Based Histogram Partitioning and Local Equalization for Contrast Enhancement of Images |
title_short | Density-Based Histogram Partitioning and Local Equalization for Contrast Enhancement of Images |
title_sort | density based histogram partitioning and local equalization for contrast enhancement of images |
topic | Contrast Enhancement Histogram Modification Image Quality Evaluation Image Quality Enhancement |
url | http://jad.shahroodut.ac.ir/article_910_40ddeb2b39e986398d5be4cd883883a5.pdf |
work_keys_str_mv | AT mshakeri densitybasedhistogrampartitioningandlocalequalizationforcontrastenhancementofimages AT mhdezfoulian densitybasedhistogrampartitioningandlocalequalizationforcontrastenhancementofimages AT hkhotanlou densitybasedhistogrampartitioningandlocalequalizationforcontrastenhancementofimages |