{"title":"自适应小波编解码器的噪声图像压缩","authors":"Y. Bekhtin","doi":"10.1109/EWDTS.2011.6116587","DOIUrl":null,"url":null,"abstract":"It is proposed an adaptive, data-driven wavelet-based method for lossy compression of noisy images. The suggested method uses a common criterion to simultaneously estimate the values of threshold and quantization interval. The results of modeling show the advantage of the designed codec comparing to well-known codecs in the sense of PSNR and SSIM criteria.","PeriodicalId":339676,"journal":{"name":"2011 9th East-West Design & Test Symposium (EWDTS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Adaptive wavelet codec for noisy image compression\",\"authors\":\"Y. Bekhtin\",\"doi\":\"10.1109/EWDTS.2011.6116587\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is proposed an adaptive, data-driven wavelet-based method for lossy compression of noisy images. The suggested method uses a common criterion to simultaneously estimate the values of threshold and quantization interval. The results of modeling show the advantage of the designed codec comparing to well-known codecs in the sense of PSNR and SSIM criteria.\",\"PeriodicalId\":339676,\"journal\":{\"name\":\"2011 9th East-West Design & Test Symposium (EWDTS)\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-09-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 9th East-West Design & Test Symposium (EWDTS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EWDTS.2011.6116587\",\"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 9th East-West Design & Test Symposium (EWDTS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EWDTS.2011.6116587","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive wavelet codec for noisy image compression
It is proposed an adaptive, data-driven wavelet-based method for lossy compression of noisy images. The suggested method uses a common criterion to simultaneously estimate the values of threshold and quantization interval. The results of modeling show the advantage of the designed codec comparing to well-known codecs in the sense of PSNR and SSIM criteria.