摘要
针对传统的雾天图像增强方法在增强图像的轮廓和细节的同时不能有效抑制图像噪声这一问题,在Retinex理论基础上,提出了小波域图像亮度与噪声双估计模型的图像增强方法,利用小波变换多分辨率的特点,对小波分解后的低频系数进行波动抑制,对高频系数通过多子带独立系数模型进行亮度估计,同时使用不同的软-硬估计法对图像的噪声进行抑制。实验证明该方法不但能有效地提取图像的亮度信息,而且进行图像增强的同时能有效地抑制图像的噪声,且对于不同的雾天环境也有良好的自适应性。
In view of the problem of the traditional enhancement algorithm can not suppress the noise effectively when the image＇s details and outline are enhanced.A novel algorithm of estimating the image illumination and noise in the wavelet domain is proposed based on Retinex theory in this paper.By using the feature of the wavelet multi-resolution,to suppress the volatility of the low-frequency coefficient and use the model of multi-subband independent coefficient to estimate the high-frequency coefficient,at the same time using soft-hard estimate method to suppress the image noise.The experimental results show that the algorithm can extract the image illuminate vector effectively, but also can suppress the image noise and adapt in different foggy weather.
出处
《计算机工程与应用》
CSCD
北大核心
2011年第15期175-179,190,共6页
Computer Engineering and Applications
基金
国家自然科学基金No.60705015
No.60575023
No.61075032
安徽省自然科学基金(No.070412054)
安徽省教育厅自然科学基金(No.KJ2009B043Z)
合肥学院科研发展基金(No.11KY03ZR)~~
