{"title":"使用暗通道先验和滤波技术的水下图像去雾","authors":"Renjith V. Ravi, S. Goyal, Sardar M N Islam","doi":"10.1109/ICCMSO58359.2022.00016","DOIUrl":null,"url":null,"abstract":"The enhancement of underwater imaging is essential for ocean engineering research and technology. Due to the increasing number of vision applications underwater, haze reduction methods have become increasingly significant. Scientists have recently been particularly eager to investigate the strange undersea environment. Haze in an image is problematic for many computer vision and graphics applications because it reduces scene visibility and visual quality. Absorption and air light cause a haze to appear. Attenuation lessens sharpness, and air light makes the landscape seems whiter. This study examines a method for haze removal from underwater images in order to enhance them and raise their quality. The method suggested makes underwater pictures clearer, which is important for research and improvement in the underwater world.","PeriodicalId":209727,"journal":{"name":"2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Underwater Image Dehazing using Dark Channel Prior and Filtering Techniques\",\"authors\":\"Renjith V. Ravi, S. Goyal, Sardar M N Islam\",\"doi\":\"10.1109/ICCMSO58359.2022.00016\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The enhancement of underwater imaging is essential for ocean engineering research and technology. Due to the increasing number of vision applications underwater, haze reduction methods have become increasingly significant. Scientists have recently been particularly eager to investigate the strange undersea environment. Haze in an image is problematic for many computer vision and graphics applications because it reduces scene visibility and visual quality. Absorption and air light cause a haze to appear. Attenuation lessens sharpness, and air light makes the landscape seems whiter. This study examines a method for haze removal from underwater images in order to enhance them and raise their quality. The method suggested makes underwater pictures clearer, which is important for research and improvement in the underwater world.\",\"PeriodicalId\":209727,\"journal\":{\"name\":\"2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCMSO58359.2022.00016\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCMSO58359.2022.00016","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Underwater Image Dehazing using Dark Channel Prior and Filtering Techniques
The enhancement of underwater imaging is essential for ocean engineering research and technology. Due to the increasing number of vision applications underwater, haze reduction methods have become increasingly significant. Scientists have recently been particularly eager to investigate the strange undersea environment. Haze in an image is problematic for many computer vision and graphics applications because it reduces scene visibility and visual quality. Absorption and air light cause a haze to appear. Attenuation lessens sharpness, and air light makes the landscape seems whiter. This study examines a method for haze removal from underwater images in order to enhance them and raise their quality. The method suggested makes underwater pictures clearer, which is important for research and improvement in the underwater world.