摘要
针对基于传统RGB(red,green,blue)模型的图像增强算法难以控制图像色调信息的弱点,提出一种非抽样contourlet变换和HSV(hue,saturation,value)模型相结合的方法,采用基于人眼视觉特性的HSV模型分解图像,保留H分量,并利用非抽样contourlet变换对图像的V分量进行分解,保证平移不变性.实验结果表明:该文方法不仅使得图像清晰度明显提高,视觉效果好,而且信噪比高.
According to the traditional image enhancement algorithms about RGB model which is difficult to control hue information, a method combining non-sampling contourlet transform with HSV model is presented. This method is uses HSV model which is based on human visual characteristics to decompose image. With this method, the H component of the image is unchanged, and non-sam- pling contourlet transform is used to decompose the V component of the image in order to make the translation invarianced. The experiments show that the image enhancement algorithm used in this paper is not only significantly improves the clarity, but also has a high ratio of singal to noise.
出处
《扬州大学学报（自然科学版）》
CAS
北大核心
2014年第2期53-56,共4页
Journal of Yangzhou University：Natural Science Edition
基金
国家自然科学基金资助项目(51273172)
