用小波变换和混合小波变换进行余弦变换和克克雷变换的图像压缩中的平铺效果

Sudeep D. Thepade, S. Erandole
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引用次数: 14

摘要

图像压缩是在不降低图像质量的前提下减小图形文件的大小。小波变换和混合小波变换被证明可以提供更好的压缩图像质量。本文尝试用正交变换、小波变换和混合小波变换来检验拼接对图像压缩方法性能的影响。实验在10张大小为256 * 256的图像的实验台上进行。结果表明,平铺技术提高了图像压缩的性能。小波变换比正交变换具有更好的压缩质量。总的来说,混合小波变换在应用于10个不重叠的图像块时提供了更好的压缩质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effect of tiling in image compression using wavelet transform & hybrid wavelet transform for cosine & kekre transforms
Image Compression plays more important role in reduction of size of graphic file without degrading image quality. Wavelet Transform & Hybrid Wavelet Transforms are proven to give better quality of compressed images. The paper attempts checking of effect of tiling on the performance of image compression methods using orthogonal transform their wavelet transform & hybrid wavelet transform. Experimentation is done on test bed of ten images of size 256 * 256 each. The results have shown that tiling improves the performance of image compression. The wavelet transform gives better quality of compression than orthogonal transform. Overall the hybrid wavelet transform gives better quality of compression when applied on 10 non-overlapping tiles of images.
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