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    • 1. 发明授权
    • Detecting and correcting red-eye in a digital image
    • 在数字图像中检测和校正红眼
    • US07116820B2
    • 2006-10-03
    • US10424419
    • 2003-04-28
    • Huitao LuoJonathan YenDaniel Tretter
    • Huitao LuoJonathan YenDaniel Tretter
    • G06K9/00G06K9/40
    • G06K9/0061H04N1/62H04N1/624
    • A preliminary set of candidate red-eye pixel areas is identified based on computed pixel redness measures. Candidate red-eye pixel areas having computed redness contrasts relative to respective neighboring pixel areas less than a prescribed redness contrast threshold are filtered from the preliminary set. Candidate red-eye pixel areas located in areas of the digital image having computed grayscale contrasts relative to respective neighboring pixel areas less than a prescribed grayscale contrast threshold also are filtered from the preliminary set. In another aspect, a final pixel mask identifying red-eye pixels and non-red-eye pixels in the candidate red-eye area is generated. Pixels in the candidate red-eye pixel area identified as red-eye pixels in the final pixel mask are desaturated from their original color values by respective scaling factors that vary depending on luminance of the pixels in the candidate red-eye pixel area and proximity of the pixels to boundaries between red-eye pixels and non-red-eye pixels.
    • 基于计算出的像素发光度量来识别初步的一组候选红眼像素区域。 从初步集合中滤出具有相对于相对于相应的相邻像素区域计算的红度对比度的候选红眼像素区域,该相邻像素区域小于规定的红度对比度阈值。 从初步集合中滤除位于具有计算的灰度对比度的数字图像的区域中的候选红眼像素区域相对于小于规定灰度对比度阈值的相邻像素区域。 在另一方面,生成识别候选红眼区域中的红眼像素和非红眼像素的最终像素掩模。 在最终像素掩模中被识别为红眼像素的候选红眼像素区域中的像素从其原始颜色值中减去相应的缩放因子,该比例因子根据候选红眼像素区域中的像素的亮度而变化, 像素到红眼像素与非红眼像素之间的边界。
    • 7. 发明授权
    • Detecting and correcting peteye
    • 检测和纠正peteye
    • US07747071B2
    • 2010-06-29
    • US11260636
    • 2005-10-27
    • Jonathan YenDaniel TretterHuitao LuoSuk Hwan Lim
    • Jonathan YenDaniel TretterHuitao LuoSuk Hwan Lim
    • G06K9/00
    • G06K9/0061
    • Peteye is the appearance of an unnatural coloration (not necessarily red) of the pupils in an animal appearing in an image captured by a camera with flash illumination. Systems and methods of detecting and correcting peteye are described. In one aspect a classification map segmenting pixels in the input image into peteye pixels and non-peteye pixels is generated based on a respective segmentation condition on values of the pixels. Candidate peteye pixel areas are identified in the classification map. The generating and the identifying processes are repeated with the respective condition replaced by a different respective segmentation condition on the pixel values.
    • Peteye是出现在用闪光照相机拍摄的图像中出现的动物中的不自然着色(不一定是红色)的瞳孔的出现。 描述了检测和修正peteye的系统和方法。 在一个方面,基于对像素的值的相应分割条件来生成将输入图像中的像素分割成peteye像素和非peteye像素的分类图。 候选peteye像素区域在分类图中被识别。 重复生成和识别处理,其中各个条件由像素值上的不同的相应分割条件替换。