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    • 5. 发明申请
    • FORMING COLORING BOOKS FROM DIGITAL IMAGES
    • 从数字图像形成彩色书
    • US20080284791A1
    • 2008-11-20
    • US11749807
    • 2007-05-17
    • Marco BressanGabriela Csurka
    • Marco BressanGabriela Csurka
    • G09G5/02G06T11/00
    • G06T11/00G06K9/4638G06T7/12
    • Embodiments herein include a method, service, apparatus, etc., that automatically generates a coloring book image that includes line drawings defining a small number of color coherent, clearly discriminated, closed regions while preserving the basic semantic properties of the original image. These regions hence can be filled in with colored inks, crayons, paints, etc. The method inputs a color image that can be a photograph, scanned image, etc. The method begins by transforming the color image into a chrominance-luminance space and then performs low pass filtering on the color image that preserves the chrominance edges of the features within the color image. Next, the method segments the color image into the features based on locations of the chrominance edges of the features. Then, the method can merge selected features into other features. After performing any merging, the method identifies the remaining chrominance edges of the features within the image and adds lines along the remaining chrominance edges to form outlines of the features. Then, the method automatically filters out all other data from the image to leave only the outlines and produce a revised image consisting of just the outlines. The revised image of just outlines is then output to the user.
    • 这里的实施例包括自动生成着色书图像的方法,服务,装置等,其包括定义少量颜色相干,明确区分的封闭区域的线条图,同时保留原始图像的基本语义属性。 这些区域因此可以用彩色油墨,蜡笔,油漆等填充。该方法输入可以是照片,扫描图像等的彩色图像。该方法开始于将彩色图像变换为色度亮度空间,然后 对彩色图像执行低通滤波,以保持彩色图像内的特征的色度边缘。 接下来,该方法基于特征的色度边缘的位置将彩色图像分割成特征。 然后,该方法可以将选定的功能合并成其他功能。 在执行任何合并之后,该方法识别图像内的特征的剩余色度边缘,并沿剩余色度边缘添加线以形成特征轮廓。 然后,该方法自动过滤出图像中的所有其他数据,仅留下轮廓,并生成仅由轮廓组成的修改图像。 然后将简要轮廓的修改后的图像输出给用户。
    • 6. 发明申请
    • Adaptive red eye correction
    • 自适应红眼矫正
    • US20080137944A1
    • 2008-06-12
    • US11637351
    • 2006-12-12
    • Luca MarchesottiJutta K. WillamowskiMarco Bressan
    • Luca MarchesottiJutta K. WillamowskiMarco Bressan
    • G06K9/03
    • G06K9/0061
    • An image processing method takes as its input, a patch of an image where a candidate red-eye has been detected. The method includes classifying the patch with a classifier trained to assign the patch either to a default first class of patches associated with a standard correction of the candidate red-eye or to at least one second class of patches associated with a modified correction of the candidate red-eye. The modified correction may be designed to reduce a risk of degradation of the image for the second class of patches. The classification optionally includes determining a confidence level associated with the classification. If the image is classified into the at least one second class and the confidence level, where determined, exceeds a threshold, the modified correction is applied to the patch, otherwise, the standard correction is applied.
    • 图像处理方法作为其输入,检测到候选红眼的图像的块。 该方法包括对经过训练的分类器对分类器进行分类,该分类器将补丁分配给与候选红眼的标准校正相关联的默认的第一类补丁或者与修改后的候选者的校正相关联的至少一个第二类补丁 红眼睛。 改进的校正可以被设计为减少第二类贴片的图像劣化的风险。 分类可选地包括确定与分类相关联的置信水平。 如果图像被分类为至少一个第二类,并且在确定的置信水平超过阈值的情况下,将修改的校正应用于贴片,否则应用标准校正。
    • 8. 发明授权
    • Adaptive red eye correction
    • 自适应红眼矫正
    • US07764846B2
    • 2010-07-27
    • US11637351
    • 2006-12-12
    • Luca MarchesottiJutta K. WillamowskiMarco Bressan
    • Luca MarchesottiJutta K. WillamowskiMarco Bressan
    • G06K9/40
    • G06K9/0061
    • An image processing method takes as its input, a patch of an image where a candidate red-eye has been detected. The method includes classifying the patch with a classifier trained to assign the patch either to a default first class of patches associated with a standard correction of the candidate red-eye or to at least one second class of patches associated with a modified correction of the candidate red-eye. The modified correction may be designed to reduce a risk of degradation of the image for the second class of patches. The classification optionally includes determining a confidence level associated with the classification. If the image is classified into the at least one second class and the confidence level, where determined, exceeds a threshold, the modified correction is applied to the patch, otherwise, the standard correction is applied.
    • 图像处理方法作为其输入,检测到候选红眼的图像的块。 该方法包括对经过训练的分类器对分类器进行分类,该分类器将补丁分配给与候选红眼的标准校正相关联的默认的第一类补丁或者与修改后的候选者的校正相关联的至少一个第二类补丁 红眼睛。 改进的校正可以被设计为减少第二类贴片的图像劣化的风险。 分类可选地包括确定与分类相关联的置信水平。 如果图像被分类为至少一个第二类,并且在确定的置信水平超过阈值的情况下,将修改的校正应用于贴片,否则应用标准校正。