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    • 81. 发明申请
    • PROCESSING AN INPUT SIGNAL USING A CORRECTION FUNCTION BASED ON TRAINING PAIRS
    • 使用基于训练对的校正功能处理输入信号
    • US20080103717A1
    • 2008-05-01
    • US11554183
    • 2006-10-30
    • Yacov Hel-OrDoron Shaked
    • Yacov Hel-OrDoron Shaked
    • G06F19/00G06F17/40
    • G06T5/10G06T5/002G06T2207/20008G06T2207/20012G06T2207/20064
    • Provided are systems, methods and techniques for, inter alia, processing an input signal. In one representative embodiment, samples of an input signal that represents a physical quantity are obtained and then transformed from an original domain into a plurality of coefficients in a transform domain, using an over-complete transform, such that the plurality of coefficients is sufficient to redundantly reconstruct the input signal samples. The coefficients are then modified independently of each other by applying a correction function, thereby obtaining a set of corrected coefficients, and the set of corrected coefficients is transformed back to the original domain. According to this embodiment, the correction function was determined by using a set of training pairs, each training pair including an uncorrected signal and a corrected signal, and by reducing a specified aggregate measure of error between the uncorrected signal and the corrected signal in the original domain across the training pairs.
    • 提供了用于处理输入信号的系统,方法和技术。 在一个代表性实施例中,使用表示物理量的输入信号的采样,并使用过完整变换从原始域变换为变换域中的多个系数,使得多个系数足以 冗余重建输入信号样本。 然后通过应用校正函数来独立地修改系数,从而获得一组校正后的系数,并将该组校正系数转换回原始域。 根据本实施例,通过使用一组训练对,每个训练对包括未校正的信号和校正的信号,并且通过减少未校正的信号与原始信号中的校正信号之间的误差的规定的总体测量来确定校正功能 域间训练对。
    • 87. 发明授权
    • Scalable, fraud resistant graphical payment indicia
    • 可扩展,防欺诈的图形支付标记
    • US06938017B2
    • 2005-08-30
    • US09728297
    • 2000-12-01
    • Jonathan YenChit Wei SawDoron ShakedAvraham Levy
    • Jonathan YenChit Wei SawDoron ShakedAvraham Levy
    • B41J5/30G06T1/00G07B17/00H04N1/387G06F17/60H04K1/00
    • G07B17/00508G06Q20/3672G07B2017/00443G07B2017/0058G07B2017/00588G07B2017/00637G07B2017/00709
    • Payment indicia generating schemes are described that enable users to customize the appearance of the payment indicium and to accommodate a wide variety of validation processing environments, while providing a substantial defense against fraudulent photocopy attack. In some embodiments, a corroborative digital token is generated from payment information, and a base image is modulated with a graphical encoding of the corroborative digital token to produce a payment indicium. In some embodiments, a payment indicium containing embedded payment information is rendered on a printing surface with a printing characteristic that degrades with photographic reproductions such that the embedded payment information is extractable from an original rendering of the payment indicium but is un-extractable from a photographic reproduction of an original rendering of the payment indicium. In some embodiments, payment information is encoded into a corroborative digital token based at least in part upon one or more variable encoding parameters, and a payment indicium containing the encoded payment information is rendered.
    • 描述支付标记生成方案,使得用户能够定制支付标记的外观并且适应各种各样的验证处理环境,同时提供对欺诈性复印攻击的实质防御。 在一些实施例中,从付款信息生成确认数字令牌,并且使用确认数字令牌的图形编码来调制基本图像以产生支付标记。 在一些实施例中,包含嵌入式支付信息的支付标记在打印表面上呈现,其印刷特性与照相复制品降级,使得嵌入的支付信息可从支付标记的原始呈现中提取,但不能从照相中提取 复制支付标记的原始呈现。 在一些实施例中,支付信息至少部分地基于一个或多个可变编码参数被编码为确认数字令牌,并且呈现包含编码支付信息的支付标记。
    • 89. 发明授权
    • Reducing halos in spatially dependent gamut mapping
    • 在空间依赖的色域映射中减少光晕
    • US06826304B2
    • 2004-11-30
    • US10096303
    • 2002-03-13
    • Avraham LevyDoron Shaked
    • Avraham LevyDoron Shaked
    • H04N160
    • H04N1/6058
    • A method and apparatus for color image processing using gamut mapping reduces halo artifacts by correcting terms in a gamut mapping algorithm. The color image may be represented by f, the in gamut image by g, the target gamut by C, and the gamut constraint by c. The method for reducing halo artifacts includes two correction steps. First a color distance term L2 in the gamut mapping algorithm is corrected. Second, a distance measure of an image gradient in the gamut mapping algorithm is corrected. The first correcting step comprises computing a function u=projectC(ƒ). The second correcting step comprises computing a scaled down function for f. Next, a function g(x,y) is determined that minimizes a functional comprising the color distance term and the image gradient term. The solution may be determined by iteration using a gradient descent operation by first initializing g0=projectC(ƒ), and then performing one or more iteration steps to compute g(x,y).
    • 使用色域映射进行彩色图像处理的方法和装置通过校正色域映射算法中的项来减少光晕伪影。 彩色图像可以由f表示,色域图像乘以g,目标色域为C,色域约束为c。 减少光晕伪影的方法包括两个校正步骤。 首先校正色域映射算法中的色彩距离项L2。 第二,校正色域映射算法中的图像梯度的距离度量。 第一校正步骤包括计算函数u = projectC(f)。 第二校正步骤包括计算f的缩小函数。 接下来,确定使包括颜色距离项和图像梯度项的功能最小化的函数g(x,y)。 通过首先初始化g0 = projectC(f),然后执行一个或多个迭代步骤来计算g(x,y),可以通过使用梯度下降操作的迭代来确定解。