一种基于参数类哈尔变换的图像压缩方案

S. Minasyan, J. Astola, D. Guevorkian
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引用次数: 26

摘要

提出了一种基于快速正交参数自适应Haar类变换的图像压缩方案,该变换是一种离散正交变换,可以用与经典快速Haar变换结构相似的快速算法进行计算,并且其矩阵包含任意阶的一个或多个预定义行。所提出的图像压缩方案的性质使得其性能(就PSNR与压缩比而言)不会比基于经典DCT(离散余弦变换)的方案差。仿真结果表明,对于某些类型的图像,如医用x射线图像,可以实现显着的性能改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An image compression scheme based on parametric Haar-like transform
A new image compression scheme is presented, based on a fast orthogonal parametrically adaptive Haar-like transform, which is a discrete orthogonal transform such that it may be computed with a fast algorithm in structure similar to the classical fast Haar transform, and such that its matrix contains one or more predefined row(s) of an arbitrary order. The nature of the proposed image compression scheme is such that its performance (in terms of PSNR versus compression ratio) cannot be worse than that of the classical DCT (discrete cosine transform) based scheme. Simulations show that a significant performance improvement can be achieved for certain types of images such as medical X-ray images.
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