首页> 外文期刊>International Journal of Innovative Research in Science, Engineering and Technology >Performance Comparison of Hybrid Wavelet Transform Formed by Combination of Different Base Transforms with DCT on Image Compression
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Performance Comparison of Hybrid Wavelet Transform Formed by Combination of Different Base Transforms with DCT on Image Compression

机译:不同基础变换与DCT相结合形成混合小波变换在图像压缩方面的性能比较

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In this paper image compression using hybrid wavelet transform is proposed. Hybrid wavelet transform matrix is formed using two component orthogonal transforms. One is base transform which contributes to global features of an image and another transform contributes to local features. Here base transform is varied to observe its effect on image quality at different compression ratios. Different transforms like Discrete Kekre Transform (DKT), Walsh, Real-DFT, Sine, Hartley and Slant transform are chosen as base transforms. They are combined with Discrete Cosine Transform (DCT) that contributes to local features of an image. Sizes of component orthogonal transforms are varied as 16-16, 32-8 and 64-4 to generate hybrid wavelet transform of size 256x256. Results of different combinations are compared and it has been observed that, DKT as a base transform combined with DCT gives better results for size 16x16 of both component transforms.
机译:本文提出了一种基于混合小波变换的图像压缩方法。使用两个分量正交变换形成混合小波变换矩阵。一个是基础变换,有助于图像的全局特征,另一种变换是局部特征。在此改变基本变换以观察其在不同压缩率下对图像质量的影响。选择诸如离散Kekre变换(DKT),Walsh,Real-DFT,Sine,Hartley和Slant变换之类的不同变换作为基础变换。它们与有助于图像局部特征的离散余弦变换(DCT)相结合。分量正交变换的大小变化为16-16、32-8和64-4,以生成大小为256x256的混合小波变换。比较了不同组合的结果,并且已经观察到,对于两种分量变换的大小为16x16的DKT作为基本变换,与DCT组合给出的结果更好。

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