摘要
提出了一种色温估计方法 ,并在此基础上实现了一个自适应的数码相机自动白平衡算法 该算法充分考虑了Y和Cb ,Cr之间的相关性 ,挑选更合适的白色像素进行平均色差计算 ,以提高色温估计的精度 在一个数码相机处理器的设计中实现了该算法
Auto white balance plays a key role in a digital camera system, and determines image quality to a large extent. An adaptive auto white balance algorithm for digital camera is proposed. With a new color temperature estimation method based on the correlation between Y, Cb and Cr, the algorithm finds more proper white pixels to calculate the averaged chromatic aberration to improve the precision of the estimated color temperature. The algorithm is realized in the design of a digital camera processor. The test results indicate that the precision of the estimated color temperature is improved dramatically compared with the classical algorithms.
出处
《计算机辅助设计与图形学学报》
EI
CSCD
北大核心
2005年第3期529-533,共5页
Journal of Computer-Aided Design & Computer Graphics
基金
国家"八六三"高技术研究发展计划基金项目 (2 0 0 2AA1Z14 5 0 )
关键词
自动白平衡
色温估计
数码相机
auto white balance
color temperature estimation
digital camera
