高动态范围数字相机sRGB色彩空间颜色管理  

Color management of s RGB color space for HDR digital camera

作　　者：郭惠楠[1] 曹剑中[1] 王华[1] 张建[1] 杨洪涛[1] 

机构地区：[1]中国科学院西安光学精密机械研究所,陕西西安710119

出　　处：《红外与激光工程》2014年第B12期238-242,共5页Infrared and Laser Engineering

基　　金：国家自然科学基金(61201376)

摘　　要：数字成像设备在传输、显示图像时需要进行设备的特性化处理,该过程是设备颜色管理中的重要环节。为了保证输出图像的色彩复现能力,高动态范围数字相机需要根据设备自身特性进行特性化。现有特性化过程一般针对8位数字相机,并且转换矩阵的标定较为复杂,容易产生系统误差,矩阵精度易受影响。针对上述问题,提出了一种高动态范围彩色数字相机颜色管理方法,利用相机输出图像与被摄目标的色彩属性建立了RGB色彩空间到CIE1931 XYZ色彩空间的映射关系,并采用最小二乘拟合法对映射矩阵进行标定,最终将相机的RGB色彩空间转换至s RGB标准色彩空间,解决了高动态相机的特性化问题。实验证明,该方法操作简单,设备通用性较强,拟合均方误差优于0.08,具有较好的鲁棒性。Digital imaging devices require color space characterization while transferring or showing image between various devices which is a crucial part of color management for digital devices. In order to keep the color reproduction ability for output image, a high dynamic range digital（HDR） camera requires characterization based on the device properties. For existing characterization algorithms, which are in most cases for 8-bit-digital cameras, the processes of transformation matrix calibration are involved in some complex approaches, which are easy to cause system errors and influence the precision of color space transformation matrix. Accordingly, a color management approach was proposed for a high dynamic range colorful digital camera that using a color space mapping from camera RGB space to CIE1931 XYZ color space to estimate the function relation between two color spaces and using the least square method to achieve color matrix calibration. Eventually the camera RGB color space was transformed to s RGB standard color space which achieves characterization for HDR camera. Experimental results show that this method is of good robustness and easy to realize as well as the mean square error is less than 0.08.

关 键 词：机器视觉 高动态范围 颜色管理 数字相机 

分 类 号：TP391.7[自动化与计算机技术—计算机应用技术]