{"title":"一种改进的MTFC遥感图像恢复算法","authors":"Yaqiong Chai, Zhongkui Feng, Dongkai Qi","doi":"10.1145/1999320.1999353","DOIUrl":null,"url":null,"abstract":"This paper proposes an improved modulation transfer function compensation restoration algorithm for remote sensing image based on inverse filtering, a traditional image restoration method. The improved algorithm is accomplished by optimizing the compensating curve shape and the compensating factor. The quality of resultant image is better than before and the quantitative results are satisfying. Moreover, the optimal algorithm is adaptive to various remote sensing images and it overcomes the limited adaptability of former work.","PeriodicalId":400763,"journal":{"name":"International Conference and Exhibition on Computing for Geospatial Research & Application","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An improved MTFC restoration algorithm for remote sensing image\",\"authors\":\"Yaqiong Chai, Zhongkui Feng, Dongkai Qi\",\"doi\":\"10.1145/1999320.1999353\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes an improved modulation transfer function compensation restoration algorithm for remote sensing image based on inverse filtering, a traditional image restoration method. The improved algorithm is accomplished by optimizing the compensating curve shape and the compensating factor. The quality of resultant image is better than before and the quantitative results are satisfying. Moreover, the optimal algorithm is adaptive to various remote sensing images and it overcomes the limited adaptability of former work.\",\"PeriodicalId\":400763,\"journal\":{\"name\":\"International Conference and Exhibition on Computing for Geospatial Research & Application\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference and Exhibition on Computing for Geospatial Research & Application\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1999320.1999353\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference and Exhibition on Computing for Geospatial Research & Application","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1999320.1999353","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An improved MTFC restoration algorithm for remote sensing image
This paper proposes an improved modulation transfer function compensation restoration algorithm for remote sensing image based on inverse filtering, a traditional image restoration method. The improved algorithm is accomplished by optimizing the compensating curve shape and the compensating factor. The quality of resultant image is better than before and the quantitative results are satisfying. Moreover, the optimal algorithm is adaptive to various remote sensing images and it overcomes the limited adaptability of former work.