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Single pixel information content

机译:单像素信息内容

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摘要

Inspired by the analogy between computer-based visual systems and their biological counterparts, we propose to introduce two new concepts: the concept of a pixel's receptive field (analogous to neural cells' receptive fields in the eye's retina), and its derivation - the concept of information content of a single pixel (analogous to the output activity of the retina's neural cells). Exploiting these new concepts, we suggest a quantitative measure for the dissimilarity between a pixel and its surrounding neighbors, which we define as a measure of pixel's information content. With such a measure at the hand, many image processing tasks that usually require (for their successful accomplishment) some information related assumptions could be reformulated and redesigned to gain new and unknown computation efficiency of image features detection, description and discrimination. On this basis, new image processing techniques could be devised. Lena images processed by applying some of these techniques are presented for illustration purposes.
机译:受基于计算机的视觉系统与其生物学对应物之间类比的启发,我们建议引入两个新概念:像素的感受野(类似于眼睛视网膜中神经细胞的感受野)的概念及其派生概念。单个像素的信息内容量(类似于视网膜神经细胞的输出活动)。利用这些新概念,我们建议对像素与其周围邻居之间的差异进行定量度量,我们将其定义为像素信息内容的度量。有了这样的措施,可以重新构造和重新设计通常需要(为了成功完成)一些与信息有关的假设的许多图像处理任务,以便获得新的和未知的图像特征检测,描述和识别的计算效率。在此基础上,可以设计出新的图像处理技术。出于说明目的,介绍了通过应用其中一些技术处理的莉娜图像。

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