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Effects of Ocular Optical Aberrations on Non-overlapped Image Filtering

机译:眼像差对非重叠图像滤波的影响

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Recent results in retinal research have shown that ganglion cell receptive fields cover the mammalian retina in a mosaic arrangement, with insignificant amounts of overlap in the central fovea. This finding implies that from the informatics point of view there is a major conceptual gap between traditional and widely accepted, convolution based image filtering algorithms, and the way visual information is processed by the retina in the eye. The use of traditional filters with non-overlapping operator architectures leads to considerable information losses between centers of filter kernels. This paper introduces a novel model of the eye-retina system that fills the conceptual gap of information processing between the retina and the overlapping (convolution based) architectures used by todays widely adapted algorithms. The proposed computational model takes into consideration data convergence, as well as the dynamic and optical properties of the eye lens. Based on the evaluation of the model, three hypotheses are formulated on the role of the optical precision of the eye-lens and involuntary eye accommodation dynamics.
机译:视网膜研究的最新结果表明,神经节细胞的接受区域以镶嵌的方式覆盖了哺乳动物的视网膜,中央凹中央的重叠量很小。这一发现意味着,从信息学的角度来看,在传统的和被广泛接受的基于卷积的图像过滤算法之间以及在眼睛的视网膜处理视觉信息的方式上,存在重大的概念鸿沟。传统过滤器与不重叠的运算符体系结构一起使用会导致过滤器内核中心之间的大量信息丢失。本文介绍了一种新型的眼-视网膜系统模型,该模型填补了视网膜与当今广泛采用的算法所使用的重叠(基于卷积)体系结构之间信息处理的概念空白。所提出的计算模型考虑了数据收敛性,以及眼镜片的动态和光学特性。在模型评估的基础上,针对眼镜的光学精度和非自愿眼部适应动力学的作用,提出了三个假设。

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