摘要
动态范围是指数字图像中最大像素值与最小像素值的比。在sRGB色彩空间中,传统低动态范围图像每个通道用8比特整数来代表像素值,只能表示256个亮度级,而实际自然场景中动态范围高达100000000:1,这在传统图像中无法表示;与传统图像不同,HDR图像用浮点数来表示像素值,可以完全表示出自然场景中的动态范围。在高动态图像的合成研究中,灰度空间的算法已经趋于成熟,而彩色图像的合成则要复杂很多。本文在应用较为普遍的多曝光量的黑白图像合成基础上对彩色图像合成的色彩效果进行研究,对不同的色彩空间内(RGB、HSV、YUV)对图像的合成结果进行对比。实验结果证明,在YUV空间中进行的合成算法无论在合成效果还是在色彩真实度方面都表现较好。
Dynamic Range in Digital Image Processing refers to the ratio of maximal value to minimal value. In sRGB color space,8-bit integer is used to represent each color channel of traditional low dynamic range,with at most 256 of luminance level. Different from ordinary image,HDR image is designed to fully demonstrate the total range of real world scene,ranging from 1 to 100000000. Among the research of high dynamic range composition,greyscale image composition technique has been researched a lot and is mature,while color image composition is much more complicated. This paper focuses on the color performance in high dynamic range image composition based on multiple exposures,and experiment results in different color space （RGB,HSV,YUV） combined with analysis on performance are given. The results show that,Composition in YUV space works fine in terms of real color and overall performance.
出处
《微计算机信息》
2009年第34期98-99,166,共3页
Control & Automation
关键词
高动态范围
彩色图像合成
色彩表现
High dynamic range
Color image composition
Color performance
