红眼算法 [英] Red eye reduction algorithm

问题描述

我需要实现红眼减轻对我工作的应用程序。

I need to implement red eye reduction for an application I am working on.

谷歌搜索主要是提供链接到商业最终用户产品。

Googling mostly provides links to commercial end-user products.

你知道一个好的红眼消除算法，它可以在GPL的应用程序中使用？

Do you know a good red eye reduction algorithm, which could be used in a GPL application?

推荐答案

我的方式迟到了这里，但对于未来的搜索我用下面的算法用于个人应用程序，我写的。

I'm way late to the party here, but for future searchers I've used the following algorithm for a personal app I wrote.

首先，该区域的减少是由用户选择，并传递到红眼还原方法作为中心点和半径。该方法遍历半径内的每个像素，并执行以下计算：

First of all, the region to reduce is selected by the user and passed to the red eye reducing method as a center Point and radius. The method loops through each pixel within the radius and does the following calculation:

//Value of red divided by average of blue and green:
Pixel pixel = image.getPixel(x,y);
float redIntensity = ((float)pixel.R / ((pixel.G + pixel.B) / 2));
if (redIntensity > 1.5f)  // 1.5 because it gives the best results
{
    // reduce red to the average of blue and green
    bm.SetPixel(i, j, Color.FromArgb((pixel.G + pixel.B) / 2, pixel.G, pixel.B));
}

我很喜欢这个结果，因为它们保持色彩强度，这意味着眼睛的光反射不会降低。 （这意味着眼睛保持他们的活着的样子。）

I really like the results of this because they keep the color intensity, which means the light reflection of the eye is not reduced. (This means eyes keep their "alive" look.)

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