Color image enhancement based on HVS and PCNN

Color image enhancement based on HVS and PCNN
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基于HVS和PCNN的彩色图像增强

DOI:
10.1007/s11432-010-4075-9
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发表时间:
2010-09
影响因子:
8.8
通讯作者:
Wu LeNan
Wu LeNan
中科院分区:
计算机科学2区
文献类型:
--
作者:
Wei Geng;Wang ShuiHua;Zhang YuDong;Wu LeNan

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为了更有效地增强彩色图像,本文提出了一种新的策略。首先将待增强图像从RGB空间转换到HIS空间,然后保持H分量不变,再对S分量进行指数拉伸,最后对I分量进行如下处理:将灰度值和空间信息耦合到相应神经元的内部活动项中,将人类视觉系统集成到相应神经元的动态分量中,并将内部活动项与动态分量进行比较,得到增强图像。实验证明了该策略的有效性和可行性。
To enhance color images more effectively, a novel strategy is presented in this paper. We firstly translate the image to be enhanced from RGB space into HIS space, secondly keep itsHcomponent unchanged, and thirdly stretch itsScomponent exponentially, and at last process itsIcomponent in the following manner: couple both the gray value and the spatial information into an inner activity item of corresponding neuron, integrate the human visual system into a dynamic component of corresponding neuron, and compare the inner activity item with dynamic component to obtain the enhanced image. Experiments demonstrate the effectiveness and validity of our strategy.
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影响因子: --
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