摘要
在可变光照条件下成像会出现灰度误差失真,为了提高在可变光照条件下动态图像的成像质量,特进行灰度校正,故提出一种基于色差补偿和白平衡均衡处理的可变光照条件下动态图像灰度校正方法。对可变光照下的动态成像图像进行小波降噪处理,基于仿射不变分割方法对降噪输出的动态图像进行区域分割和边缘轮廓特征提取,提取图像的灰度直方图信息,通过色差补偿和白平衡均衡处理方法实现灰度校正和成像误差补偿。仿真结果表明,采用该方法进行动态图像灰度校正,提高了图像成像质量,图像的灰度特征平滑效果较好。
The imaging under variable illumination condition will generate the gray error distortion. In order to improve the imaging quality of dynamic image under variable illumination condition, it is necessary to conduct the gray correction. There- fore. a method based on color difference compensation and white balance equalization processing is put forward for dynamic image gray correction under variable illumination condition. The wavelet denoising is carried out for the image of the dynamic imaging under variable illumination condition. The affine invariant segmentation method is used to segment the region and ex- tract the edge contour feature of the denoised dynamic image, so as to extract the gray histogram information of the image. The gray correction and imaging error compensation are realized by means of the color difference compensation and white balance equalization processing methods. The simulation results show that the method used for dynamic image gray correction can im- prove the imaging quality of the image, and has perfect smoothing effect for the image gray feature.
出处
《现代电子技术》
北大核心
2017年第24期100-102,105,共4页
Modern Electronics Technique
基金
河南省基础与前沿技术研究计划项目(162300410194)
河南省科技攻关项目资助(122102210243)
关键词
动态图像
灰度校正
色差补偿
小波降噪处理
dynamic image
gray correction
color difference compensation
wavelet denoising processing
