Non-classical Receptive Field Models with Inhibitory Subunits for High-speed Railway Image Enhancement

Xinyu Du, Yu Cheng, Zichen Gu
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Abstract

This paper presents two models for high-speed railway image enhancement. The basic model is inspired by some neuroelectrophysiological experiments on retinal ganglion cell's non-classical receptive field that reveals dis-inhibitory properties of inhibitory subunits. In view of the fact that there are different Gaussian channels in the model of receptive field, we improve the basic model to change the inhibitory effects by means of the potential function designed to show variations of inhibitory intensity adaptively. In order to validate the models, lots of highspeed railway image enhancement experiments are presented to show preferable results obtained by our models.
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基于抑制子单元的高速铁路图像增强非经典感受野模型
本文提出了两种高速铁路图像增强模型。该基本模型的灵感来自于一些对视网膜神经节细胞非经典感受野的神经电生理实验,这些实验揭示了抑制亚基的去抑制特性。鉴于感受野模型中存在不同的高斯通道,我们对基本模型进行了改进,通过设计自适应显示抑制强度变化的势函数来改变抑制效果。为了验证模型的有效性,进行了大量的高速铁路图像增强实验,结果表明模型得到了较好的增强效果。
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