四川大学学报：工程科学版2012，Vol.44Issue(1)：99-105,7.
基于视觉特性的Riemann-Liouville分数阶图像增强
A Riemann-Liouville Fractional Differential Image Enhancement AlgorithmBased on Human Visual Characteristics
摘要
Abstract
In order to overcome the defects that enhancement effects of classical approaches are not obvious and the Grünwald-Letnikov（G-L） fractional differential operator could make color image distortion,a fractional differential image enhancement algorithm based on fractional-order receptive field model for gray and color image enhancment was presented.First,fractional-order receptive field of digital image was discussed.Next,a fractional-order differential convolution mask for image enhancement was constructed according to R-L fractional partial differential equation and its numerical implementation on eight directions was discussed in detail.This algorithm was applied in HSI color space and only the Intensity（I） component was processed for color image enhancement.The experiments showed that the proposed algorithm is non-linear and it can obviously enhance gray and color images.The enhanced images have no color distortion.关键词
图像增强/分数阶微分/视觉特性/感受野/分数阶微分模板Key words
image enhancement/fractional difference/visual characteristic/receptive field/fractional differential mask分类
信息技术与安全科学引用本文复制引用
陈庆利,黄果,孙锐,舒勇,蒲亦非,周激流..基于视觉特性的Riemann-Liouville分数阶图像增强[J].四川大学学报：工程科学版,2012,44(1):99-105,7.基金项目
国家自然科学基金资助项目 （）
四川省教育厅科研基金资助项目 （）
