G. Mageshwari, M. Chandralekha, Dharminder Chaudhary
{"title":"Underwater image re-enhancement with blend of Simplest Colour Balance and Contrast Limited Adaptive Histogram Equalization Algorithm","authors":"G. Mageshwari, M. Chandralekha, Dharminder Chaudhary","doi":"10.1109/InCACCT57535.2023.10141807","DOIUrl":null,"url":null,"abstract":"A trial has been made for a technique for the enhancement and restoration of underwater images. To resolve this a fusion algorithm that consists of a simple color balance algorithm and Contrast Limited Adaptive Histogram Equalization (CLAHE) contrast enhancements algorithm is carried out. To increase the effect of R, G, and B values in the image’s color spectrum, we have used a simple color balance algorithm. This simple color balance algorithm observes the image’s brightest and darkest values and stretches as much as it can between maximum and minimum [0,255]. To increase the depths in the images we perform a contrast enhancement. The projected underwater image processing output is contrasted with a number of other current models. A comparison of our model shows an advantage over others in some results","PeriodicalId":405272,"journal":{"name":"2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/InCACCT57535.2023.10141807","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A trial has been made for a technique for the enhancement and restoration of underwater images. To resolve this a fusion algorithm that consists of a simple color balance algorithm and Contrast Limited Adaptive Histogram Equalization (CLAHE) contrast enhancements algorithm is carried out. To increase the effect of R, G, and B values in the image’s color spectrum, we have used a simple color balance algorithm. This simple color balance algorithm observes the image’s brightest and darkest values and stretches as much as it can between maximum and minimum [0,255]. To increase the depths in the images we perform a contrast enhancement. The projected underwater image processing output is contrasted with a number of other current models. A comparison of our model shows an advantage over others in some results