{"title":"合成孔径雷达图像的视觉无损压缩","authors":"N. Ponomarenko, V. Lukin, K. Egiazarian","doi":"10.1109/ICATT.2011.6170755","DOIUrl":null,"url":null,"abstract":"A task of visually lossless but, in fact, lossy compression of synthetic aperture radar (SAR) images corrupted by intensive speckle is considered. A method based on discrete cosine transform (DCT) applied in 8×8 blocks is proposed. The method is adapted to spatial DCT spectrum of speckle and its multiplicative nature. It is shown that the proposed method allows providing compression ratio (CR) of about 3.2…3.5 for simulated and real life SAR images which is sufficiently larger than for image lossless comp ression tech niqu es.","PeriodicalId":433613,"journal":{"name":"2011 VIII International Conference on Antenna Theory and Techniques","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Visually lossless compression of synthetic aperture radar images\",\"authors\":\"N. Ponomarenko, V. Lukin, K. Egiazarian\",\"doi\":\"10.1109/ICATT.2011.6170755\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A task of visually lossless but, in fact, lossy compression of synthetic aperture radar (SAR) images corrupted by intensive speckle is considered. A method based on discrete cosine transform (DCT) applied in 8×8 blocks is proposed. The method is adapted to spatial DCT spectrum of speckle and its multiplicative nature. It is shown that the proposed method allows providing compression ratio (CR) of about 3.2…3.5 for simulated and real life SAR images which is sufficiently larger than for image lossless comp ression tech niqu es.\",\"PeriodicalId\":433613,\"journal\":{\"name\":\"2011 VIII International Conference on Antenna Theory and Techniques\",\"volume\":\"71 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 VIII International Conference on Antenna Theory and Techniques\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICATT.2011.6170755\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 VIII International Conference on Antenna Theory and Techniques","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICATT.2011.6170755","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Visually lossless compression of synthetic aperture radar images
A task of visually lossless but, in fact, lossy compression of synthetic aperture radar (SAR) images corrupted by intensive speckle is considered. A method based on discrete cosine transform (DCT) applied in 8×8 blocks is proposed. The method is adapted to spatial DCT spectrum of speckle and its multiplicative nature. It is shown that the proposed method allows providing compression ratio (CR) of about 3.2…3.5 for simulated and real life SAR images which is sufficiently larger than for image lossless comp ression tech niqu es.
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