Zaid Abdi Alkareem, Ibrahim Venkat, M. Al-Betar, A. Khader
{"title":"Edge preserving image enhancement via harmony search algorithm","authors":"Zaid Abdi Alkareem, Ibrahim Venkat, M. Al-Betar, A. Khader","doi":"10.1109/DMO.2012.6329797","DOIUrl":null,"url":null,"abstract":"Population based metaheuristic algorithms have been providing efficient solutions to the problems posed by various domains including image processing. In this contribution we address the problem of image enhancement with a specific focus on preserving the edges inherent in images with the aid of a musically inspired harmony search based metaheuristic algorithm. We demonstrate the significance of our proposed intuitive approach which combines efficient techniques from the image processing domain as well as from the optimization domain. Pertaining to the problem under consideration, further we compare our results with the state-of-the-art histogram equalization approach.","PeriodicalId":330241,"journal":{"name":"2012 4th Conference on Data Mining and Optimization (DMO)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"25","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 4th Conference on Data Mining and Optimization (DMO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DMO.2012.6329797","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 25
Abstract
Population based metaheuristic algorithms have been providing efficient solutions to the problems posed by various domains including image processing. In this contribution we address the problem of image enhancement with a specific focus on preserving the edges inherent in images with the aid of a musically inspired harmony search based metaheuristic algorithm. We demonstrate the significance of our proposed intuitive approach which combines efficient techniques from the image processing domain as well as from the optimization domain. Pertaining to the problem under consideration, further we compare our results with the state-of-the-art histogram equalization approach.