图 书 馆
数码相机流水线的建模：从原始到sRGB再到回来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: | 2013-01-23 |
| 课程语种: | 英语 |
| 中文简介: |  本演讲通过对来自30多个摄像机的10,000多个图像进行广泛的分析，介绍了对摄像机成像过程的研究。目的是研究是否可以将输出图像值（即sRGB）转换为物理上有意义的值，如果可以，则何时以及如何进行。通过我们的分析，我们表明常规辐射度模型非常适合具有低色彩饱和度的图像像素，但是随着色彩饱和度水平的提高而开始下降。这是由于颜色映射过程在相机内部处理中包括色域映射而无法用常规方法建模的。为了解决这个问题，我们引入了一种新的辐射定标成像模型以及有效的定标方案，该方案可以补偿非线性色彩校正，从而将非线性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: | 颜色映射; 图像像素 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2020-12-03：zyk |
| 最后编审: | 2020-12-03：zyk |
| 阅读次数: | 125 |