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Extended performance comparison of tiling based image compression using wavelet transforms hybrid wavelet transforms

机译:使用小波变换和混合小波变换的基于切片的图像压缩扩展性能比较

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The storage of images is becoming difficult with number of images growing to millions & billions. Hence the image compression is becoming absolute necessity in computing field. Use of the energy compaction property of orthogonal transforms is exploited for lossy image compression. In the recent research attempts better quality of compression is observed with the use of wavelet transforms & hybrid wavelet transforms. Further tiling based image compression is proven to be better with few hybrid wavelet transforms. The paper presents extended performance comparison of more variations of hybrid wavelet transforms for tiling based image compression. The experimentation is done on set of ten color images with size 256×256 each. Mean Square Error (MSE) between the original color image & compressed color image is employed to compare performance of various hybrid wavelet transforms for ten different assorted compression ratios (10%, 20%.…90% & 95%). The hybrid wavelet transform generated using Cosine & Kekre Transforms (Cosine + Kekre) has shown the best performance with minimum MSEs for all compression ratios closely followed by the Hybrid Wavelet Transform generated using Cosine & Haar Transforms.
机译:随着图像数量增长到数百万亿,图像的存储变得越来越困难。因此,图像压缩成为计算领域中的绝对必要。利用正交变换的能量压缩特性来进行有损图像压缩。在最近的研究尝试中,通过使用小波变换和混合小波变换,可以观察到更好的压缩质量。事实证明,在很少的混合小波变换的基础上,进一步基于切片的图像压缩效果更好。本文介绍了混合小波变换的更多变体在基于图块的图像压缩中的扩展性能比较。实验是在十幅彩色图像的集合上完成的,每幅彩色图像的尺寸为256×256。原始彩色图像和压缩彩色图像之间的均方误差(MSE)用于比较各种混合小波变换对十种不同分类压缩率(10%,20%...…90%和95%)的性能。使用余弦和Kekre变换生成的混合小波变换(Cosine + Kekre)在所有压缩比下均显示出最低MSE的最佳性能,紧随其后的是使用余弦和Haar变换生成的混合小波变换。

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