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    • 1. 发明申请
    • SEGMENTED LAYERED IMAGE SYSTEM
    • SEGMENTED层状图像系统
    • US20070025622A1
    • 2007-02-01
    • US11465087
    • 2006-08-16
    • Patrice SimardErin RenshawJames RinkerHenrique Malvar
    • Patrice SimardErin RenshawJames RinkerHenrique Malvar
    • G06K9/36
    • H04N1/403G06K9/00456
    • Systems and methods for encoding and decoding document images are disclosed. Document images are segmented into multiple layers according to a mask. The multiple layers are non-binary. The respective layers can then be processed and compressed separately in order to achieve better compression of the document image overall. A mask is generated from a document image. The mask is generated so as to reduce an estimate of compression for the combined size of the mask and multiple layers of the document image. The mask is then employed to segment the document image into the multiple layers. The mask determines or allocates pixels of the document image into respective layers. The mask and the multiple layers are processed and encoded separately so as to improve compression of the document image overall and to improve the speed of so doing. The multiple layers are non-binary images and can, for example, comprise a foreground image and a background image.
    • 公开了用于编码和解码文档图像的系统和方法。 根据掩码将文档图像分割成多个图层。 多层是非二进制的。 然后可以分别对各个层进行处理和压缩,以便对整个文件图像实现更好的压缩。 从文档图像生成蒙版。 生成掩模,以减少对于掩模和文档图像的多个层的组合大小的压缩估计。 然后使用掩模将文档图像分割成多个层。 掩模将文档图像的像素确定或分配到各个图层中。 掩模和多层被单独处理和编码,以便整体上改善文档图像的压缩并提高这样做的速度。 多层是非二进制图像,并且可以例如包括前景图像和背景图像。
    • 2. 发明申请
    • Clustering
    • 聚类
    • US20050271281A1
    • 2005-12-08
    • US11198562
    • 2005-08-05
    • Patrice SimardHenrique MalvarErin Renshaw
    • Patrice SimardHenrique MalvarErin Renshaw
    • G06T7/00G06F19/00G06K9/20G06K9/36G06K9/46G06K9/62G06K9/64G06K9/68G06T5/00G06T11/00
    • G06K9/00442G06K9/46G06K9/6202G06K2209/01
    • Systems and methods for performing clustering of a document image are disclosed. A property of an extracted mark from a document is compared to the properties of the existing clusters. If the property of the mark fails to match any of the properties of the existing clusters, the mark is added as a new cluster to the existing cluster. One property that can be utilized is x size and y size, which is the width and height, of the existing clusters. Another property that can be employed is ink size, which refers to the ratio of black pixels to total pixels in a cluster. Yet another property that can be utilized is a reduced mark or image, which is a pixel size reduced version the bitmap of the mark and/or cluster. The above properties can be employed to identify mismatches and reduce the number of bit by bit comparisons performed.
    • 公开了用于执行文档图像的聚类的系统和方法。 将来自文档的提取标记的属性与现有集群的属性进行比较。 如果标记的属性无法匹配现有集群的任何属性,则该标记作为新集群添加到现有集群。 可以使用的一个属性是x size和y size,这是现有集群的宽度和高度。 可以使用的另一个属性是墨水大小,其指的是群集中黑色像素与总像素的比例。 可以使用的另一个属性是缩小的标记或图像,其是像素尺寸缩小版本的标记和/或集群的位图。 可以采用上述特性来识别不匹配并减少进行的逐比较比较。
    • 6. 发明申请
    • Tarp filter
    • 篷布过滤器
    • US20060078210A1
    • 2006-04-13
    • US11287671
    • 2005-11-28
    • Patrice SimardHenrique MalvarDinei FlorencioDavid Steinkraus
    • Patrice SimardHenrique MalvarDinei FlorencioDavid Steinkraus
    • G06K9/36
    • G06T9/004G06T9/007
    • Systems and methods for performing adaptive filtering are disclosed. The present invention generates probabilities that can be used in an encoder, such as an arithmetic encoder and generates those probabilities in a computationally efficient manner. Probabilities of previously encoded coefficients are employed, effectively, in generating probabilities of the coefficients without regard to directional information. Thus, a large amount of information is adaptively and efficiently used in generating the probabilities. For the coefficients, the probability is computed based at least partly on at least one probability of a previously computed probability of a neighboring coefficient. Then, the coefficients are encoded using those computed probabilities.
    • 公开了用于执行自适应滤波的系统和方法。 本发明产生可以在诸如算术编码器的编码器中使用的概率,并以计算有效的方式生成这些概率。 先前编码的系数的概率被有效地用于在不考虑方向信息的情况下生成系数的概率。 因此,在生成概率时自适应地有效地使用大量的信息。 对于系数,概率至少部分地基于先前计算的相邻系数的概率的至少一个概率来计算。 然后,使用那些计算的概率对系数进行编码。