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Implementation and optimization of the algorithm of automatic color enhancement in digital images

  • Université de Toulouse

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

This paper studies the implementation of an algorithm to enhance the color of an image by considering global and local effects. The implementation is done on Matlab((and also on a FPGA using VHDL. The algorithm is called ACE (automatic color equalization). The paper presents the optimization of the algorithm using a subset or window. The algorithm performs the color enhancement automatically by equalizing the colors and improving the image. The results show an image with more contrast, higher number of details and visually better. Indeed, ACE maximizes the information of the image. The optimization of the algorithm reduces the complexity of the original one. Additionally, the VHDL implementation is quite faster than Matlab's.

Original languageEnglish
Title of host publication2017 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538608197
DOIs
StatePublished - 1 Jul 2017
Event2017 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2017 - Ixtapa, Guerrero, Mexico
Duration: 8 Nov 201710 Nov 2017

Publication series

Name2017 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2017
Volume2018-January

Conference

Conference2017 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2017
Country/TerritoryMexico
CityIxtapa, Guerrero
Period8/11/1710/11/17

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