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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。
    • 2. 发明授权
    • Providing optimized digital images
    • 提供优化的数字图像
    • US07595823B2
    • 2009-09-29
    • US11060526
    • 2005-02-17
    • Jonathan YenMei ChenRamin SamadaniPere ObradorHuitao Luo
    • Jonathan YenMei ChenRamin SamadaniPere ObradorHuitao Luo
    • H04N5/262
    • H04N5/232
    • An exemplary method for providing an optimized digital image comprises obtaining digital image data by a digital image capture device, based on the digital image data, automatically determining at least two setting types, and a plurality of setting values therefor, for capturing a plurality of digital images, automatically capturing the plurality of digital images using the digital image capture device, each image being captured with at least one setting value different than another image, and providing an optimized digital image based on the plurality of digital images. In one exemplary embodiment, the optimized image is selected from the plurality of digital images. In another exemplary embodiment, the optimized image is synthesized based on the plurality of digital images.
    • 用于提供优化的数字图像的示例性方法包括基于数字图像数据,通过数字图像捕获装置获取数字图像数据,自动确定至少两种设置类型及其多个设置值,以捕获多个数字图像 图像,使用数字图像捕获设备自动捕获多个数字图像,每个图像被以不同于另一图像的至少一个设置值捕获,以及基于多个数字图像提供优化的数字图像。 在一个示例性实施例中,从多个数字图像中选择优化的图像。 在另一示例性实施例中,基于多个数字图像来合成优化的图像。
    • 5. 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。
    • 9. 发明授权
    • Extracting graphical bar codes from an input image
    • 从输入图像中提取图形条形码
    • US07305131B2
    • 2007-12-04
    • US10262434
    • 2002-10-01
    • Jonathan YenHuitao Luo
    • Jonathan YenHuitao Luo
    • G06K9/68G06K5/04
    • G06K7/1443G06K7/14
    • Systems and methods for extracting a graphical bar code (i.e., an image that contains inconspicuous graphical modulations that encode embedded information) from an input image are described. In one aspect, estimates of position coordinates for a detected graphical bar code candidate are computed. An objective function is optimized based on the computed position coordinates to obtain final position coordinate estimates for the graphical bar code candidate. Non-graphical bar code regions are trimmed from the input image based on the final position coordinates for the graphical bar code candidate to produce a trimmed graphical bar code candidate for decoding.
    • 描述了用于从输入图像提取图形条形码(即,包含编码嵌入信息的不显眼图形调制的图像)的系统和方法。 在一个方面,计算检测到的图形条形码候选的位置坐标的估计。 基于所计算的位置坐标来优化目标函数,以获得图形条形码候选者的最终位置坐标估计。 基于用于图形条形码候选的最终位置坐标来从输入图像修剪非图形条形码区域,以产生用于解码的修剪图形条形码候选。