Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Adjustable Contrast Enhancement Using Fast Piecewise Linear Histogram Equalization
Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences.
Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences.
Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences.ORCID iD: 0000-0002-6643-312x
2020 (English)In: ACM International Conference Proceeding Series, Association for Computing Machinery , 2020, p. 57-61Conference paper, Published paper (Refereed)
Abstract [en]

Histogram equalization is a technique to enhance the contrast of the image by redistributing the histogram. In this paper, a fast piecewise linear histogram equalization method is introduced based on an adjustable degree of enhancement and piecewise continuous transformation functions using frequencies of different grey-levels. This method aims to address and maximize the contrast enhancement of the image by stretching the entire spectrum. For this purpose, particular nodes (bins) on the histogram are simultaneously detected that in comparison with recursive methods, it requires less computational time. Then, the particular nodes are stretched using transformation functions to align with the reference nodes. The experimental results indicate that the performance of the proposed method is promising in terms of contrast enhancement. Moreover, this method preserves the texture of various regions in the image very well through the equalization process by using the degree of enhancement. © 2020 Owner/Author.

Place, publisher, year, edition, pages
Association for Computing Machinery , 2020. p. 57-61
Keywords [en]
Contrast enhancement, Histogram equalization, Histogram modification, Image/video enhancement, Equalizers, Graphic methods, Linear transformations, Piecewise linear techniques, Textures, Computational time, Histogram equalizations, Piecewise linear, Piecewise-continuous, Recursive methods, Reference nodes, Transformation functions, Image enhancement
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:bth-19394DOI: 10.1145/3383812.3383830Scopus ID: 2-s2.0-85083108101ISBN: 9781450377201 (print)OAI: oai:DiVA.org:bth-19394DiVA, id: diva2:1426244
Conference
3rd International Conference on Image and Graphics Processing, ICIGP 2020; Singapore; 8 February 2020 through 10 February 2020
Note

Sponsor: Nanyang Technological University,University of Bologna (UNIBO)

Open Access

Available from: 2020-04-24 Created: 2020-04-24 Last updated: 2020-04-24Bibliographically approved

Open Access in DiVA

Adjustable Contrast Enhancement Using Fast Piecewise Linear Histogram Equalization(1635 kB)8 downloads
File information
File name FULLTEXT01.pdfFile size 1635 kBChecksum SHA-512
18b59f58b7ffe2f716bd603682ce84239960220105a4e9cbce30593ae6728683daa220412ca62e3f0433fa4e2e433a25bb49e3173e0230b14bba836112d052f7
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Authority records BETA

Javadi, Mohammad SalehDahl, MattiasPettersson, Mats

Search in DiVA

By author/editor
Javadi, Mohammad SalehDahl, MattiasPettersson, Mats
By organisation
Department of Mathematics and Natural Sciences
Control Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 8 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 18 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf