{"title":"一个有效的快速整数DCT变换图像压缩与16加法只有","authors":"Nabila Brahimi, S. Bouguezel","doi":"10.1109/WOSSPA.2011.5931415","DOIUrl":null,"url":null,"abstract":"A new fast matrix is introduced for the discrete cosine transform (DCT), an important transform that is of particular interest in image compression. For an 8-point DCT only 16 additions are required by appropriately introducing some zeros in the 8×8 Signed DCT (SDCT) matrix taking into account the orthogonality conditions. The second originality of this work is the development of a suitable quantization matrix suitable for our proposed transform matrix. This quantization matrix improves the peak signal to noise ratio (PSNR) by about 0.7 dB compared to the JPEG quantization matrix.","PeriodicalId":343415,"journal":{"name":"International Workshop on Systems, Signal Processing and their Applications, WOSSPA","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"An efficient fast integer DCT transform for images compression with 16 additions only\",\"authors\":\"Nabila Brahimi, S. Bouguezel\",\"doi\":\"10.1109/WOSSPA.2011.5931415\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new fast matrix is introduced for the discrete cosine transform (DCT), an important transform that is of particular interest in image compression. For an 8-point DCT only 16 additions are required by appropriately introducing some zeros in the 8×8 Signed DCT (SDCT) matrix taking into account the orthogonality conditions. The second originality of this work is the development of a suitable quantization matrix suitable for our proposed transform matrix. This quantization matrix improves the peak signal to noise ratio (PSNR) by about 0.7 dB compared to the JPEG quantization matrix.\",\"PeriodicalId\":343415,\"journal\":{\"name\":\"International Workshop on Systems, Signal Processing and their Applications, WOSSPA\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-05-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Workshop on Systems, Signal Processing and their Applications, WOSSPA\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WOSSPA.2011.5931415\",\"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 Workshop on Systems, Signal Processing and their Applications, WOSSPA","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WOSSPA.2011.5931415","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An efficient fast integer DCT transform for images compression with 16 additions only
A new fast matrix is introduced for the discrete cosine transform (DCT), an important transform that is of particular interest in image compression. For an 8-point DCT only 16 additions are required by appropriately introducing some zeros in the 8×8 Signed DCT (SDCT) matrix taking into account the orthogonality conditions. The second originality of this work is the development of a suitable quantization matrix suitable for our proposed transform matrix. This quantization matrix improves the peak signal to noise ratio (PSNR) by about 0.7 dB compared to the JPEG quantization matrix.