摘要
针对受光照影响造成图像低对比度不清晰的特点,本文根据多尺度Retinex理论的原理,构造了一个有效的平滑传导函数,并结合MSR的优点,提出一个多维多尺度的图像处理算法。仿真结果表明,该算法处理图像的效果要明显优于经典的直方图均衡、同态滤波和MSR等方法。并且该算法对不同特点的图像有着广泛的适应性。
the paper proposes a multi-dimensional multi-scale image processing algorithm for the characteristics of image is low conwast and not clear due to illumination affection, according to the principle of muM-scale Retinex theory, by constructing a effective smooth conduction function and combining the advantages of MSR for image processing. The simulation results show that the method in dealing with image effect is obviously better than classical histogram equalization, homomorphic filtering and MSR, etc. And this processing algorithms has a wide range of adaptability on the different characteristics of the image.
出处
《自动化与仪器仪表》
2010年第3期104-105,110,共3页
Automation & Instrumentation
基金
四川省自贡市科学技术研究项目(08C01)
四川省教育厅项目(08ZC029)
关键词
平滑传导函数
多维多尺度
MSR
适应性
Smooth conduction function
Multi-dimensional multiscale
MSR
Adaptability
