{"title":"利用加权平均分析实现卫星图像的图像增强","authors":"E. Mohan, R. Sivakumar, S. V. Aswin Kumer","doi":"10.1109/ICPCSI.2017.8392265","DOIUrl":null,"url":null,"abstract":"This paper proposes an implementation of image enhancement in satellite images using weighted average analysis. In this proposal the image acquired from the satellite is processed by Discrete Wavelet Transform (DWT) and further it is processed by two different approaches. First approach is the image optimization with adaptive thresholding and performs Inverse DWT and the another approach is Contrast Limited Adaptive Histogram Equalization (CLAHE) and performs Inverse DWT. Finally the attributes from the two IDWT are compared with its weighted average to obtain enhanced output image.","PeriodicalId":6589,"journal":{"name":"2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI)","volume":"46 1","pages":"2947-2951"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"An implementation of image enhancement in satellite images using weighted average analysis\",\"authors\":\"E. Mohan, R. Sivakumar, S. V. Aswin Kumer\",\"doi\":\"10.1109/ICPCSI.2017.8392265\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes an implementation of image enhancement in satellite images using weighted average analysis. In this proposal the image acquired from the satellite is processed by Discrete Wavelet Transform (DWT) and further it is processed by two different approaches. First approach is the image optimization with adaptive thresholding and performs Inverse DWT and the another approach is Contrast Limited Adaptive Histogram Equalization (CLAHE) and performs Inverse DWT. Finally the attributes from the two IDWT are compared with its weighted average to obtain enhanced output image.\",\"PeriodicalId\":6589,\"journal\":{\"name\":\"2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI)\",\"volume\":\"46 1\",\"pages\":\"2947-2951\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPCSI.2017.8392265\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPCSI.2017.8392265","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An implementation of image enhancement in satellite images using weighted average analysis
This paper proposes an implementation of image enhancement in satellite images using weighted average analysis. In this proposal the image acquired from the satellite is processed by Discrete Wavelet Transform (DWT) and further it is processed by two different approaches. First approach is the image optimization with adaptive thresholding and performs Inverse DWT and the another approach is Contrast Limited Adaptive Histogram Equalization (CLAHE) and performs Inverse DWT. Finally the attributes from the two IDWT are compared with its weighted average to obtain enhanced output image.