经研究脉冲发放皮层模型(SCM)动态阈值衰减特性和神经元点火周期,发现该模型的赋时矩阵对图像灰度处理过程恰好符合韦伯费赫涅尔定律.对于较亮部分,灰度差值处理比较粗糙,而对于较暗区域,灰度差值处理更加精细.基于此,提出了一种利用SCM的彩色图像增强算法.选择符合人眼视觉特性的HSI色彩空间,保持色调不变,对饱和度分量进行幂次拉伸,对亮度分量利用SCM进行增强处理.仿真实验结果证明,该算法可行,图像增强效果明显.
Dynamic threshold attenuation characteristics and firing periodicity of spiking cortical model (SCM) are analyzed. It is concluded that the negative time matrix of this model conforms to Weber-Fech- ner-law. It processes lighter areas coarsely and darker areas accurately. And then a new image enhance- ment algorithm based on SCM is presented. The hue saturation intensity (HSI) color space that satisfies with human visual system is chosen. Hue component is kept unchanged; but saturation component is changed by power stretch while luminance component is processed by SCM. Experiment shows that this algorithm is feasible, and the enhancement effect is obvious.