Eman A. Donia, Ghada M. El-Banby, El-Sayed M. El-Rabaie, O. Faragallah, F. A. Abd El-Samie
{"title":"Infrared image enhancement based on both Histogram matching and wavelet fusion","authors":"Eman A. Donia, Ghada M. El-Banby, El-Sayed M. El-Rabaie, O. Faragallah, F. A. Abd El-Samie","doi":"10.1109/JEC-ECC.2016.7518980","DOIUrl":null,"url":null,"abstract":"This paper proposes using both of the Histogram matching and wavelet fusion as an enhancement technique for infrared images (IR). Evaluation metrics for image enhancement includes entropy, standard deviation, edge intensity, contrast and average gradient. Results revealed that histogram matching of IR images to visual images enhances of the appearance of the images. Moreover, wavelet fusion can achieve data merging between different enhanced images.","PeriodicalId":362288,"journal":{"name":"2016 Fourth International Japan-Egypt Conference on Electronics, Communications and Computers (JEC-ECC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Fourth International Japan-Egypt Conference on Electronics, Communications and Computers (JEC-ECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/JEC-ECC.2016.7518980","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
This paper proposes using both of the Histogram matching and wavelet fusion as an enhancement technique for infrared images (IR). Evaluation metrics for image enhancement includes entropy, standard deviation, edge intensity, contrast and average gradient. Results revealed that histogram matching of IR images to visual images enhances of the appearance of the images. Moreover, wavelet fusion can achieve data merging between different enhanced images.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
