Wavelet Feature Family for Image Compression

M. Patlayenko, O. Osharovska, V. Pyliavskyi, V. Solodka
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引用次数: 1

Abstract

The article contains the results of experimental studies on compression of high and ultra-high definition images by families of wavelet functions. The dependences of the compression coefficients for the Daubechi, Haar, Coifleti, Meyer and biorthogonal wavelets are obtained. It is shown that wavelet functions allow more flexible control of the bit stream compared to a discrete cosine transform taking into account the detail of the images.
图像压缩的小波特征族
本文介绍了利用小波函数族对高清和超高清图像进行压缩的实验研究结果。得到了Daubechi、Haar、Coifleti、Meyer和双正交小波压缩系数的依赖关系。结果表明,与考虑图像细节的离散余弦变换相比,小波函数允许更灵活地控制比特流。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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