{"title":"On image compression: a DWT-DCT algorithm","authors":"How Sun Dee, V. Jeoti","doi":"10.1109/ISSPA.2001.950203","DOIUrl":null,"url":null,"abstract":"We propose a hybrid transform that performs one-level wavelet decomposition of any image and follows it with a discrete cosine transform (DCT) in its lowpass sub-band. It shows a definite improvement over the DCT-based JPEG coder performance, in that it allows for a wider range of compression ratios (CR) over which the coder PSNR performance is good while it requires far fewer computations. We show that even though the proposed transform has similarity to sub-band DCT, it outperforms sub-band DCT at low CR and is as good as the sub-band DCT at high CR.","PeriodicalId":236050,"journal":{"name":"Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467)","volume":"161 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPA.2001.950203","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

We propose a hybrid transform that performs one-level wavelet decomposition of any image and follows it with a discrete cosine transform (DCT) in its lowpass sub-band. It shows a definite improvement over the DCT-based JPEG coder performance, in that it allows for a wider range of compression ratios (CR) over which the coder PSNR performance is good while it requires far fewer computations. We show that even though the proposed transform has similarity to sub-band DCT, it outperforms sub-band DCT at low CR and is as good as the sub-band DCT at high CR.
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关于图像压缩:DWT-DCT算法
我们提出了一种混合变换,对任何图像进行一级小波分解,并在其低通子带中进行离散余弦变换(DCT)。与基于dct的JPEG编码器性能相比,它显示了明显的改进,因为它允许更大范围的压缩比(CR),在此范围内编码器的PSNR性能良好,而它需要的计算量要少得多。结果表明,尽管所提出的变换与子带DCT相似,但它在低CR下优于子带DCT,在高CR下与子带DCT一样好。
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