分流抑制细胞神经网络用于彩色图像增强的特性

H.N. Cheung, A. Bouzerdoum, W. Newland
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引用次数: 23

摘要

研究了分流抑制细胞神经网络(SICNN)用于彩色图像增强的动态范围压缩和对比度增强特性。首先,根据SICNN的结构对其进行公式化,然后将公式表示为数字格式,以便进行仿真。然后将得到的数字SICNN应用于一维斜坡函数,以研究其与该函数的对数相比较的行为。然后,将该神经网络应用于彩色图像;结果表明,在增强对比度的同时,SICNN还提高了图像的色彩稳定性和清晰度。
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Properties of shunting inhibitory cellular neural networks for colour image enhancement
Investigates the dynamic range compression and contrast enhancement properties of shunting inhibition cellular neural networks (SICNN) used for colour image enhancement. First, the SICNN is formulated according to its structure and then the formulation is expressed in a digital format so that simulations can be performed. The resulting digital SICNN is then applied to a 1D ramp function to study its behaviour as compared to the logarithm of the function. Then, the SICNN is applied to colour images; the results show that, besides performing contrast enhancement, the SICNN also improves the colour constancy of the images as well as their sharpness.
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