利用加权平均分析实现卫星图像的图像增强

2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI) Pub Date : 2017-09-01 DOI:10.1109/ICPCSI.2017.8392265

E. Mohan, R. Sivakumar, S. V. Aswin Kumer

{"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}

引用次数: 2

摘要

提出了一种利用加权平均分析实现卫星图像图像增强的方法。该方案对卫星图像进行离散小波变换(DWT)处理，并进一步采用两种不同的处理方法。第一种方法是自适应阈值图像优化并进行逆DWT，另一种方法是对比度有限自适应直方图均衡化(CLAHE)并进行逆DWT。最后将两个IDWT的属性与其加权平均值进行比较，得到增强的输出图像。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI)

自引率

0.00%

发文量