摘要
为了有效消除光照对彩色图像的影响,提出应用HSV变换和同态滤波的光照补偿方法。首先将图像从RGB色彩空间变换至HSV色彩空间,然后将高斯高通滤波传递函数引入同态滤波中,设计出一种新的动态高斯同态滤波器,在频域内对图像亮度分量进行增强,并保持色调和饱和度不变,在增强图像细节的同时,削减图像低频分量,弥补因光照不足引起的图像质量下降,实现对彩色图像的光照补偿。实验分析表明,所提出方法能够弱化光照影响,提高彩色图像质量,是一种比传统高斯高通滤波和Gamma矫正更有效的光照补偿方法。
Focusing on weakening the effect of illumination to color image,an illumination compensation method based on HSV transform and homomorphic filtering is proposed.Firstly,the image is transformed from the RGB color space to the HSV color space,and the Gauss high pass filtering function is introduced into homomorphic filtering to design a new dynamic Gauss homomorphism filter.Then the luminance component of the HSV color space is carried on enhancement processing in the frequency range,while the hue and the saturation maintain invariable.By enhancing the image detail and reducing low frequency component,the image quality drop caused by illumination variation is relieved.Finally,the illumination compensation of color image is achieved.Experimental analysis demonstrates that the proposed method,which can weaken illumination effect and improve color image quality,is more effective to illumination compensation than conventional Gauss high filtering and Gamma correction.
出处
《计算机工程与应用》
CSCD
北大核心
2010年第30期142-144,共3页
Computer Engineering and Applications
基金
国家高技术研究发展计划(863)No.2006AA10Z261
No.2006AA10Z248
江南大学博士研究生科学研究基金项目~~
关键词
彩色图像
光照补偿
HSV变换
高斯同态滤波
color image； illumination compensation； HSV transform； Gauss homomorphic filtering；
