G. Mageshwari, M. Chandralekha, Dharminder Chaudhary
{"title":"混合最简单色彩平衡和对比度限制的自适应直方图均衡化算法的水下图像再增强","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":"{\"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}","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}
Underwater image re-enhancement with blend of Simplest Colour Balance and Contrast Limited Adaptive Histogram Equalization Algorithm
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