ok -量子化理论-量子化的数学理论

H. Koshimizu, Yuji Tanaka, T. Fujiwara
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引用次数: 0

摘要

提出了图像灰度值数字化的数学基础。这被称为Oteru-Koshimizu量化定理(OK-QT),类似于用于图像形状数字化的香农采样定理(Shannon- st)。受Shannon-ST是从离散图像到模拟图像的重构定理的启发,OK-QT被建模为图像灰度值的概率密度函数形状的重构定理。这是一种新颖而独特的图像灰度数字化的数学基础。本文概述了该定理,并给出了一些实验结果,以证明其实用性。通过这一点,OK-QT与Shannon ST一起为数字化的完整基础提供了数学范式的线索
本文章由计算机程序翻译,如有差异,请以英文原文为准。
OK-Quantization Theory - A Mathematical Theory of Quantization -
A mathematical basis for the digitization of gray value of an image is proposed. This was called Oteru-Koshimizu quantization theorem (OK-QT), on the analogy of the Shannon sampling theorem (Shannon-ST) for the digitization of the shape of the image. Inspired by the fact that the Shannon-ST is the reconstruction theorem of the analog image from the discrete image, OK-QT was modeled as the reconstruction theorem of the shape of the probability density function of gray values of an image. This is a novel and unique mathematical basis for the digitization of the gray scale of an image. This paper outlines this theorem and also shows some experimental results to demonstrate its practical applicability. Through this, the OK-QT gives a clue to the mathematical paradigm for the complete basis for digitization, together with Shannon ST
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