自然图像快速偏色检测的广义白斑模型

J. Lisani, A. Petro, E. Provenzi, Catalina Sbert
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引用次数: 1

摘要

提出了一种能够快速检测自然图像偏色的广义白斑技术。我们不像纯白斑模型那样依赖于图像中单个完美反射斑的颜色信息,而是考虑一个连接的像素区域,作为该方法的白色参考。属于白色参考区域的像素必须符合三个属性:1)它们不必完全饱和;2)它们必须属于整个图像中亮度最亮的像素的p%(其中p是模型的参数);3)这些像素构成的连通区域的面积必须超过显著性阈值a(第二个参数)。如果三个分离的颜色通道RGB中的平均强度距离中性灰度足够远,则检测到偏色,其中距离通过角度量来测量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A generalized white-patch model for fast color cast detection in natural images
We present a generalized white-patch technique able to rapidly detect color cast of natural images. Instead of relying on the chromatic information of a single perfectly reflective patch in the image, as pure white-patch models do, we consider a connected region of pixels that will serve as white reference for the method. The pixels belonging to the white reference region must comply with three properties: 1) they do not have to be completely saturated; 2) they must belong to the p% of pixels with brightest intensity in the whole image (where p is a parameter of the model); 3) the area of the connected region formed by these pix-els must overcome a threshold of significance A (a second parameter). Color cast is detected if the average intensity in the three separated chromatic channels RGB is distant enough from a neutral grey level, where the distance is measured through an angular metric.
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