R. Kozhemiakin, S. Abramov, V. Lukin, Blaao Djurovic, I. Djurović
{"title":"基于dct编码器的压缩比预测","authors":"R. Kozhemiakin, S. Abramov, V. Lukin, Blaao Djurovic, I. Djurović","doi":"10.1109/MSMW.2016.7538143","DOIUrl":null,"url":null,"abstract":"The paper deals with considering a problem typical for lossy compression of remote sensing images. While compressing an image under interest by DCT-based coders which are rather efficient it is desirable to predict what CR will be attained for a given quantization step. We show that such prediction is possible and it can be done easily, quickly, and quite accurately. Moreover, prediction can be done for practically noise-free images and images corrupted by unknown type of noise with unknown characteristics. Influence of noise type and image properties is briefly studied.","PeriodicalId":6504,"journal":{"name":"2016 9th International Kharkiv Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves (MSMW)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Compression ratio prediction for DCT-based coder\",\"authors\":\"R. Kozhemiakin, S. Abramov, V. Lukin, Blaao Djurovic, I. Djurović\",\"doi\":\"10.1109/MSMW.2016.7538143\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper deals with considering a problem typical for lossy compression of remote sensing images. While compressing an image under interest by DCT-based coders which are rather efficient it is desirable to predict what CR will be attained for a given quantization step. We show that such prediction is possible and it can be done easily, quickly, and quite accurately. Moreover, prediction can be done for practically noise-free images and images corrupted by unknown type of noise with unknown characteristics. Influence of noise type and image properties is briefly studied.\",\"PeriodicalId\":6504,\"journal\":{\"name\":\"2016 9th International Kharkiv Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves (MSMW)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 9th International Kharkiv Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves (MSMW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MSMW.2016.7538143\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 9th International Kharkiv Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves (MSMW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MSMW.2016.7538143","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The paper deals with considering a problem typical for lossy compression of remote sensing images. While compressing an image under interest by DCT-based coders which are rather efficient it is desirable to predict what CR will be attained for a given quantization step. We show that such prediction is possible and it can be done easily, quickly, and quite accurately. Moreover, prediction can be done for practically noise-free images and images corrupted by unknown type of noise with unknown characteristics. Influence of noise type and image properties is briefly studied.
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