摘要
夜间多重光照下采集的图像存在色差,采用白平衡偏差补偿方法实现夜间多重光照下图像的平滑美化处理,以提高图像的成像质量。传统的图像平滑算法采用循环跟踪像素点特征提取算法,出现白平衡偏差时图像的色差补偿效果不好。提出一种基于白平衡偏差补偿的夜间多重光照下的色差图像平滑算法。首先进行图像特征采集和自适应均衡预处理,对夜间多重光照下的色差图像进行白平衡偏差补偿,然后采用图像盲去卷积算法进行图像平滑,通过目标特征模型在空间上的相似度函数来确定图像光照色差的特征权值,沿梯度方向求得图像边缘信息,再通过特征聚类对夜间多重光照色差图像自动划分目标空间,最大程度地对夜间多重光照下的色差图像的细节特征进行平滑美化。仿真结果表明,采用该算法进行白平衡偏差补偿的夜间多重光照色差下的图像平滑美化处理方法具有较好的图像平滑性能,计算开销较小,图像的细节特征平滑效果最佳,其优于传统算法。
The images collected in night with multiple relighting have color difference, and white balance deviation com- pensation method is used to realize image smoothing beautification processing and improve the image quality. The tradi- tional method uses circular tracking pixel point feature extraction algorithm, and the color difference compensation effect is not good when the image has white balance deviation. A color differential image smoothing algorithm with multiple relighting was proposed based on white balance deviation compensation. Firstly, image feature extraction and adaptive equalization pre-processing are carried out, white balance color deviation compensation is taken for the image, image blind deconvolution algorithm is taken for image smoothing, and the similarity function of target feature model is used to determine the image color difference feature weigh. Along the gradient direction, the information of image edge is ob- tained, the feature clustering is used to classify the target space automatically, and the detail features of image are smoothed and beautified to a large extent. The simulation results show that the algorithm can compensate balance devia- tion, and the image smoothing beautification processing are optimized. It has good image smoothing performance, calcu- lation overhead is less,the detail features smoothing effect of image is the best, and its performance is better than the traditional algorithm.
作者
周毅敏
李光耀
ZHOU Yi-min LI Guang-yao(College of Electronics and Information, Tongji University, Shanghai 201804, China)
出处
《计算机科学》
CSCD
北大核心
2016年第10期287-291,共5页
Computer Science
关键词
白平衡
偏差补偿
图像平滑
美化处理
White balance, Deviation compensation, Image smoothing, Beautification processing
