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Human vision model and wavelets for high-quality image compression

机译:人类视觉模型和小波,用于高质量图像压缩

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We suggest a new solution to the problem of high-quality image compression; a new algorithm for gray-level image compression in the case of wavelet transform is proposed. It is based on the idea of embedding a model of the human visual system directly inside the transform process in the multiresolution analysis. The mathematical aspect is described by Bertoluzza and Albanesi (see Proceedings of Conference Mathematical Imaging: Wavelet Applications in Signal and Image Processing II, p.39, 1994) and it is briefly reviewed. The coding method used in the compression scheme is described, followed by some examples of the experimental results we have obtained.
机译:我们提出了一种解决高质量图像压缩问题的新方法。提出了一种基于小波变换的灰度图像压缩新算法。它基于在多分辨率分析中将人类视觉系统模型直接嵌入转换过程内部的想法。 Bertoluzza和Albanesi对数学方面进行了描述(请参阅《会议数学成像会议录:信号和图像处理中的小波应用》 II,第39页,1994年),并对其进行了简要回顾。描述了压缩方案中使用的编码方法,然后给出了我们获得的实验结果的一些示例。

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