{"title":"图像编码使用矢量量化的小波系数","authors":"Chrissavgi Dre, George Branis, Costas Goutis","doi":"10.1016/0165-6074(94)90071-X","DOIUrl":null,"url":null,"abstract":"<div><p>In this paper, we introduce a new image compression scheme that it involves three steps: First a multiresolution decomposition of the images is performed using the Wavelet Transform (WT). A thresholding algorithm is then used for the wavelet coefficients. Finally, the coefficients derived from the second step are vector quantized using a multiresoltuion codebook. The LGB algorithm is used for the Vector Quantization (VQ). Our experimental results showed that the Lena image can be coded by a two-level system at the rate of 0.24 bpp having a <em>PSNR</em> of 30.40 <em>db</em>.</p></div>","PeriodicalId":100927,"journal":{"name":"Microprocessing and Microprogramming","volume":"40 10","pages":"Pages 927-930"},"PeriodicalIF":0.0000,"publicationDate":"1994-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0165-6074(94)90071-X","citationCount":"0","resultStr":"{\"title\":\"Image coding using vector quantization of wavelet coefficients\",\"authors\":\"Chrissavgi Dre, George Branis, Costas Goutis\",\"doi\":\"10.1016/0165-6074(94)90071-X\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In this paper, we introduce a new image compression scheme that it involves three steps: First a multiresolution decomposition of the images is performed using the Wavelet Transform (WT). A thresholding algorithm is then used for the wavelet coefficients. Finally, the coefficients derived from the second step are vector quantized using a multiresoltuion codebook. The LGB algorithm is used for the Vector Quantization (VQ). Our experimental results showed that the Lena image can be coded by a two-level system at the rate of 0.24 bpp having a <em>PSNR</em> of 30.40 <em>db</em>.</p></div>\",\"PeriodicalId\":100927,\"journal\":{\"name\":\"Microprocessing and Microprogramming\",\"volume\":\"40 10\",\"pages\":\"Pages 927-930\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/0165-6074(94)90071-X\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Microprocessing and Microprogramming\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/016560749490071X\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Microprocessing and Microprogramming","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/016560749490071X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Image coding using vector quantization of wavelet coefficients
In this paper, we introduce a new image compression scheme that it involves three steps: First a multiresolution decomposition of the images is performed using the Wavelet Transform (WT). A thresholding algorithm is then used for the wavelet coefficients. Finally, the coefficients derived from the second step are vector quantized using a multiresoltuion codebook. The LGB algorithm is used for the Vector Quantization (VQ). Our experimental results showed that the Lena image can be coded by a two-level system at the rate of 0.24 bpp having a PSNR of 30.40 db.
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