{"title":"一种改进的基于模糊对比度的降雾图像增强算法","authors":"Huiyan Liu, Wenzhang He, R. Liu","doi":"10.1109/CIS.2010.130","DOIUrl":null,"url":null,"abstract":"This paper constructs a fuzzy contrast enhancement algorithm and then combination with mathematical morphology to improve the fog blurred images which captured in bad weather. In this algorithm, we improve the membership function of fuzzy domain and its inverse operation. Meanwhile, we define a new more effective function which can calculate the pixel gray membership function after enhanced. Experimental results show that the contrast and clarity of images are much improved after they are processed by the algorithm which proposed in this paper, and it effectively improves the gray and blocking effect which arises in the sky region and the visual quality of the whole image significantly.","PeriodicalId":420515,"journal":{"name":"2010 International Conference on Computational Intelligence and Security","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"An Improved Fog-Degrading Image Enhancement Algorithm Based on the Fuzzy Contrast\",\"authors\":\"Huiyan Liu, Wenzhang He, R. Liu\",\"doi\":\"10.1109/CIS.2010.130\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper constructs a fuzzy contrast enhancement algorithm and then combination with mathematical morphology to improve the fog blurred images which captured in bad weather. In this algorithm, we improve the membership function of fuzzy domain and its inverse operation. Meanwhile, we define a new more effective function which can calculate the pixel gray membership function after enhanced. Experimental results show that the contrast and clarity of images are much improved after they are processed by the algorithm which proposed in this paper, and it effectively improves the gray and blocking effect which arises in the sky region and the visual quality of the whole image significantly.\",\"PeriodicalId\":420515,\"journal\":{\"name\":\"2010 International Conference on Computational Intelligence and Security\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Computational Intelligence and Security\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIS.2010.130\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Computational Intelligence and Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIS.2010.130","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Improved Fog-Degrading Image Enhancement Algorithm Based on the Fuzzy Contrast
This paper constructs a fuzzy contrast enhancement algorithm and then combination with mathematical morphology to improve the fog blurred images which captured in bad weather. In this algorithm, we improve the membership function of fuzzy domain and its inverse operation. Meanwhile, we define a new more effective function which can calculate the pixel gray membership function after enhanced. Experimental results show that the contrast and clarity of images are much improved after they are processed by the algorithm which proposed in this paper, and it effectively improves the gray and blocking effect which arises in the sky region and the visual quality of the whole image significantly.