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应用小波和视觉特征分析的图像增强*

, PP. 227-231

Keywords: 小波分析,自适应图像增强,视觉模型,反锐化掩模(UM)

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Abstract:

探讨基于小波分析的图像UM自适应增强处理算法,并结合对人眼视觉特性模型的分析,将图像小波分解基础上的UM算法与视觉模型结合.采用具有3×3像素框架的拉普拉斯卷积核g(·)作为线性高通滤波器的输出来度量图像的局域动态特性,保证自适应框架比较器的输出是最优的.视觉特性参数的调节是以MTF为目标函数,对图像重构分量进行二次处理,从而得到更符合人眼视觉特性的图像增强效果.

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