数码相机的管道建模:从原材料到sRGB和回Modeling the Digital Camera Pipeline: From RAW to sRGB and Back |
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课程网址: | http://videolectures.net/nipsworkshops2011_brown_pipeline/ |
主讲教师: | Michael S. Brown |
开课单位: | 新加坡国立大学 |
开课时间: | 2012-01-23 |
课程语种: | 英语 |
中文简介: | 本讲座通过对来自30多个摄像机的10,000多张图像进行广泛分析,展示了对摄像机内成像过程的研究。目标是调查输出图像值(即sRGB)是否可以转换为物理上有意义的值,如果是,则何时以及如何完成。根据我们的分析,我们表明传统的辐射测量模型非常适合具有低色彩饱和度的图像像素,但随着色彩饱和度增加而开始降低。这是由于颜色映射过程,其包括在相机内处理中的色域映射,其不能用传统方法建模。为了解决这个问题,我们引入了一种用于辐射校准的新成像模型以及一种有效的校准方案,该方案允许我们补偿非线性色彩校正,以将非线性sRGB图像转换为CCD RAW响应。 |
课程简介: | This talk presents a study of the in-camera imaging process through an extensive analysis of more than 10,000 images from over 30 cameras. The goal is to investigate if output image values (i.e. sRGB) can be transformed to physically meaningful values, and if so, when and how this can be done. From our analysis, we show that the conventional radiometric model fits well for image pixels with low color saturation but begins to degrade as color saturation level increases. This is due to a color mapping process which includes gamut mapping in the in-camera processing that cannot be modeled with conventional methods. To address this issue we introduce a new imaging model for radiometric calibration together with an effective calibration scheme that allows us to compensate for the nonlinear color correction to convert non-linear sRGB images to CCD RAW responses. |
关 键 词: | CCD原理; RGB; 相机成像 |
课程来源: | 视频讲座网 |
最后编审: | 2020-06-29:wuyq |
阅读次数: | 78 |