基于YUV空间的高动态范围图像的合成方法  

Composition Method of High Dynamic Range Image in YUV Space

作　　者：徐桂忠[1,2] 黄祥林 XU Gui-zhong;HUANG Xiang-lin(Faculty of Science and Technology,Communication University of China,Beijing 100024,China;Information Science Academy of China Electronics Technology Group Corporation,Beijing 100089,China)

机构地区：[1]中国传媒大学理工学部,北京100024 [2]中国电子科技集团公司创新科学技术研究院,北京100089

出　　处：《中国传媒大学学报（自然科学版）》2017年第3期11-13,共3页Journal of Communication University of China：Science and Technology

摘　　要：在多曝光融合算法的基础上,针对高动态范围图像在合成过程中,暗区域细节呈现不理想的情况,提出了一种对所有输入图像的亮度分量、色差分量分别进行加权融合的改进方法,采用上述改进方法,显著改善了多幅不同曝光度的高动态范围图像在合成过程中的暗区域的图像细节呈现,有效拓展目标图像暗区域的亮度区间。Aimed at the problem that the dark regions details of the high dynamic range image failed to show an ideal situation in the process of synthesis,an improved algorithm is proposed on the basis of multiple exposure fusion algorithm to merge the brightness components and the color components of all the input images with the linear weighting respectively.With the improved method,the showing of the detail for the dark area of an image caused significant improvements in the process of synthesis for multiple high dynamic range images with different exposure,which effectively expands the brightness range of dark area for the target image.

关 键 词：YUV 高动态范围 图像生成 

分 类 号：O422[理学—声学]