An analysis/synthesis model for the human visual system based on subspace decomposition and multirate filter bank theory

Lina Karam
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引用次数: 7

Abstract

A two-stage model of the human visual system (HVS) comprised of low-level (analysis) and a high-level (synthesis) processing stages is presented. The processing done at the low-level stage is described using two approaches, one based on a subspace decomposition and the other on a multirate filter bank. These two models simultaneously provide the high-level processing stage with different perspectives or representations of the retinal image. Based on these representations, the high-level processing stage attempts to perceive the encoded visual information. A single framework, which models the hypercolumn-based structure in the striate cortex and combines the different retinal image representations, is proposed. The model resolves differences among previously proposed HVS models, and suggests the development of image processing algorithms which combine and exploit the information provided by different transformations or representations of the input image.<>
基于子空间分解和多速率滤波器组理论的人类视觉系统分析/综合模型
提出了一个由低级(分析)和高级(综合)处理两个阶段组成的人类视觉系统(HVS)模型。在低级阶段完成的处理使用两种方法进行描述,一种基于子空间分解,另一种基于多速率滤波器组。这两种模型同时为视网膜图像的不同视角或表示提供了高级处理阶段。基于这些表征,高级处理阶段试图感知编码的视觉信息。提出了一个单一的框架,它模拟了纹状皮层中基于超柱的结构,并结合了不同的视网膜图像表示。该模型解决了先前提出的HVS模型之间的差异,并建议开发图像处理算法,结合并利用输入图像的不同转换或表示所提供的信息。
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