摘要
针对低照度彩色图像色彩偏暗的问题,提出一种色彩恢复的彩色图像增强方法。该算法首先将RGB彩色图像转换到HSV彩色空间,利用对数图像增强模型(Logarithmic Image Processing,LIP)对彩色图像的亮度分量进行非线性增强,其次利用正弦隶属函数将图像亮度分量由空间域映射到模糊域,并采用Pal增强算子对隶属函数值进行修正实现亮度分量再次增强。实验结果表明,新算法可以提高图像的整体对比度,增强图像细节,与人眼视觉相符合。
The color in the low illumination color image color is usually dark. A color image enhancement algorithm is proposed in this paper to restore the color. Firstly the algorithm converts RGB color images in HSV color space, and nonlinearly increases the brightness of the color image component by using Logarithmic Image enhancement model （Logarithmic Image Processing, LIP）. Secondly sine membership function is used to change the Image luminance component by mapping it from the spatial domain into the fuzzy field and the Pal enhancement operator is used to correct the value of the membership function and therefore to achieve enhanced luminance component further. Experiment results show that the new algorithm can improve the overall contrast of the image, enhance the image details very well, and is also consistent with human visual characteristic.
出处
《西安邮电大学学报》
2015年第1期9-13,共5页
Journal of Xi’an University of Posts and Telecommunications
基金
国家自然科学基金资助项目(90607008)
陕西省自然科学基金资助项目(2014JM8331
2014JQ5193
2014JM8307)
陕西省教育厅科学研究计划资助项目(2013JK1129)
关键词
LIP模型
模糊理论
低照度
图像增强
LIP model, fuzzy theory, low illumination, image enhancement
