公开(公告)号：US20110222765A1

公开(公告)日：2011-09-15

申请号：US13131204

申请日：2008-11-25

申请人： Boris Oicherman ,  Carl Staelin ,  Hila Nachlieli ,  Ruth Bergman

发明人： Boris Oicherman ,  Carl Staelin ,  Hila Nachlieli ,  Ruth Bergman

IPC分类号： G06K9/00

CPC分类号： H04N1/62 ,  H04N1/628

摘要： Modification of a digital image includes determining a likelihood of a pixel belonging to a memory color region (110). The memory color region has a preferred color. The modification further includes shifting original color of the pixel toward the preferred color (120). The original color is shifted by an amount that is a function of the likelihood and that is generally less than the difference between the original and preferred colors.

摘要翻译： 数字图像的修改包括确定属于存储器颜色区域（110）的像素的似然性。 存储器颜色区域具有优选的颜色。 修改还包括将像素的原始颜色朝向优选颜色移动（120）。 原始颜色偏移了可能性的函数，并且通常小于原始颜色和优选颜色之间的差。

公开(公告)号：US20110202483A1

公开(公告)日：2011-08-18

申请号：US13123095

申请日：2008-10-07

申请人： Ruth Bergman ,  Michal Aharon ,  Tsahi Rosenbaom ,  Ram Arad ,  Carl Staelin

发明人： Ruth Bergman ,  Michal Aharon ,  Tsahi Rosenbaom ,  Ram Arad ,  Carl Staelin

IPC分类号： G06N5/00 ,  G06F17/00

CPC分类号： G06N5/04 ,  G06F3/0481 ,  G06F11/32 ,  H04L29/08072 ,  H04L41/0631 ,  H04L41/22

摘要： Event analysis methods and apparatus in which sequences (44, 46) of one or more events are identified based on event records (20) describing the events. Respective distance values (28) representing distances between ones of the sequences (44, 46) are determined. A configuration of points in a target metric space is constructed based on the distance values (28), where each of the points represents a respective one of the sequences (44, 46). A visual representation (38) of the configuration is presented on a display (34).

摘要翻译： 事件分析方法和装置，其中基于描述事件的事件记录（20）来识别一个或多个事件的序列（44,46）。 确定代表序列（44,46）之间的距离的相应距离值（28）。 基于距离值（28）构建目标度量空间中的点的配置，其中每个点表示序列（44,46）中的相应一个。 在显示器（34）上呈现配置的视觉表示（38）。

公开(公告)号：US07884854B2

公开(公告)日：2011-02-08

申请号：US11827543

申请日：2007-07-11

申请人： Ron Banner ,  Carl Staelin

发明人： Ron Banner ,  Carl Staelin

IPC分类号： H04N5/228 ,  H04N5/217

CPC分类号： G06T5/003 ,  G06T2207/20056 ,  G06T2207/20201

摘要： A method for reducing blur from an image is described. The method includes accessing a blurred image, wherein the blurred image has a width and a length that can be different. The method further includes converting the blurred image into a frequency domain representation of the blurred image and determining an angle of blur from the frequency domain of the blurred image. The method further includes rotating the frequency domain representation of the blurred image by the angle of blur and determining a size of the blur from the rotated frequency domain representation of the blurred image. The method further includes determining a blur kernel associated with the blur, the blur kernel comprising the angle of blur and the size of said blur and de-convoluting the blurred image according to the blur kernel to reduce the blur.

摘要翻译： 描述了一种减少图像模糊的方法。 该方法包括访问模糊图像，其中模糊图像具有可以不同的宽度和长度。 该方法还包括将模糊图像转换成模糊图像的频域表示，并从模糊图像的频域确定模糊角度。 该方法还包括使模糊图像的频域表示旋转模糊角度，并从模糊图像的旋转频域表示确定模糊的大小。 该方法还包括确定与模糊相关联的模糊核心，模糊核心包括模糊角度和所述模糊的大小，并根据模糊核心对模糊图像进行去卷积以减少模糊。

公开(公告)号：US20080246978A1

公开(公告)日：2008-10-09

申请号：US11591267

申请日：2006-10-31

申请人： Gregory Braveman ,  Ruth Bergman ,  Shlomo Harush ,  Eyal Shelef ,  Carl Staelin

发明人： Gregory Braveman ,  Ruth Bergman ,  Shlomo Harush ,  Eyal Shelef ,  Carl Staelin

IPC分类号： G06F15/00

CPC分类号： G06K15/02 ,  B41J29/393 ,  G06K15/027 ,  H04N1/40006 ,  H04N1/4078 ,  H04N1/60

摘要： Image forming devices, hard imaging methods, and methods of determining a transfer function are described. According to one embodiment, an image forming device includes an image engine configured to provide a marking agent upon media, processing circuitry configured to control the image engine to form a test image upon the media having a specified coverage of the marking agent and to access measurement data indicative of a measured coverage of the marking agent of the test image, storage circuitry configured to store data comprising associations of a plurality of specified coverage values of the marking agent and a plurality of resultant coverage amounts of the marking agent formed upon the media by the image engine corresponding to respective ones of the specified coverage values, and wherein the processing circuitry is further configured to access image data of an image to be formed to identify one of the specified coverage values of the marking agent to be formed upon the media to form the image, to modify the one specified coverage value using the stored data and the measurement data to provide an imaging coverage value, and to control the image engine using the imaging coverage value to form the hard image.

摘要翻译： 描述了图像形成装置，硬成像方法以及确定传递函数的方法。 根据一个实施例，图像形成装置包括被配置为在介质上提供标记代理的图像引擎，处理电路被配置为控制图像引擎在媒体上具有指定覆盖标记代理并且访问测量 指示测试图像的标记代理的测量覆盖的数据的存储电路，被配置为存储包括标记代理的多个指定覆盖值的关联的数据和由媒体上形成的标记代理的多个合成覆盖量 所述图像引擎对应于所述指定覆盖值中的相应的覆盖值，并且其中所述处理电路还被配置为访问要形成的图像的图像数据，以识别要在所述介质上形成的所述标记代理的指定覆盖值中的一个， 形成图像，使用存储的数据和测量数据修改一个指定的覆盖值 提供成像覆盖值，并且使用成像覆盖值来控制图像引擎以形成硬图像。

公开(公告)号：US08594439B2

公开(公告)日：2013-11-26

申请号：US13320963

申请日：2009-05-28

申请人： Carl Staelin ,  Stephen Philip Cheatle

发明人： Carl Staelin ,  Stephen Philip Cheatle

IPC分类号： G06K9/62 ,  G06K9/00

CPC分类号： G06K9/4671 ,  G06T5/003 ,  G06T5/008 ,  G06T7/11 ,  G06T7/143 ,  G06T7/187 ,  G06T2207/10024 ,  G06T2207/30201

摘要： An electronic image processor (200) for enhancing an artistic intent of an image comprises: an input (210) to receive digital image data of an image to be enhanced; a classifier (220) to identify and classify regions in an image, including assigning to each region one of plural predetermined classifications and a respective degree of confidence in the classification, on the basis of the context of the region within the image, each classification being associated with a perceived degree of saliency of the region to a human viewer of the image; and an enhancer (250) to enhance regions of the image by a degree of enhancement determined at least in part by the respective classification and by the degree of confidence in the classification.

摘要翻译： 一种用于增强图像的艺术意图的电子图像处理器（200），包括：输入（210），用于接收要增强的图像的数字图像数据; 分类器（220），用于识别和分类图像中的区域，包括基于图像内的区域的上下文来分配给多个预定分类中的一个预定分类和相应的分类度，每个分类为 与该地区对图像的人类观察者的显着程度相关联; 以及增强器（250），其通过至少部分地由相应分类和所述分类的置信度确定的增强程度来增强图像的区域。

公开(公告)号：US08326079B2

公开(公告)日：2012-12-04

申请号：US12566334

申请日：2009-09-24

申请人： Marie Vans ,  Sagi Schein ,  Carl Staelin

发明人： Marie Vans ,  Sagi Schein ,  Carl Staelin

IPC分类号： G06K9/00

CPC分类号： G06K9/036

摘要： Disclosed is a computer implemented method of detecting a defect in a printed image, the method comprising the steps of: receiving a target image comprising digital image data representing a scan of the printed image; receiving a reference image comprising digital image data representing a reference of the printed image; calculating a structural dissimilarity measure, D, associated with a target pixel located in the target image and a reference pixel located in the reference image; and, determining on the basis of the structural dissimilarity measure whether a defect is present at the target pixel, wherein the structural dissimilarity measure is calculated using a structural measure, s, and a contrast measure, c; the structural measure calculated using a spatial cross-correlation associated with a target region, {right arrow over (x)}, containing the target pixel and a reference region, {right arrow over (y)}, containing the reference pixel, and the contrast measure calculated using a standard deviation associated with the target region, and a standard deviation associated with the reference region.

摘要翻译： 公开了一种检测打印图像缺陷的计算机实现方法，该方法包括以下步骤：接收包括表示打印图像的扫描的数字图像数据的目标图像; 接收包括表示所述打印图像的参考的数字图像数据的参考图像; 计算与位于所述目标图像中的目标像素和位于所述参考图像中的参考像素相关联的结构不相似度量D; 并且，基于结构不相似性来确定在目标像素处是否存在缺陷，其中使用结构测量和对比度测量来计算结构不相似性度量，c; 使用与目标区域相关联的空间互相关的结构测量值（包含目标像素的右箭头（x）}），以及包含参考像素的参考区域{右箭头（y）}），以及 使用与目标区域相关联的标准偏差计算的对比度测量，以及与参考区域相关联的标准偏差。

公开(公告)号：US20120155785A1

公开(公告)日：2012-06-21

申请号：US13387333

申请日：2009-10-21

申请人： Ron Banner ,  Carl Staelin ,  Pavel Kisilev ,  Sagi Schein

发明人： Ron Banner ,  Carl Staelin ,  Pavel Kisilev ,  Sagi Schein

IPC分类号： G06K9/40

CPC分类号： G06T5/003 ,  G06T2207/10016 ,  G06T2207/20182 ,  G06T2207/20201

摘要： A method of reducing blurring in an image of size greater than M columns by N rows of pixels, comprises deriving a blur kernel k representing the blur in the image, and deriving an inverse blur kernel k−1. The inverse blur kernel is given by (I) where h(m) is the sum of the first m terms of the series (II) δ is the Dirac delta, m is greater than 1, and h(m) is a two dimensional matrix of size M×N. The two dimensional matrix h(m) is convolved with the image over the whole image in the image pixel domain to produce an image with reduced blur. The method may be applied to a video sequence allowing the sequence of images to be deblurred in real time.

摘要翻译： 减少尺寸大于M列乘以N行像素的图像中的模糊的方法包括导出表示图像中的模糊的模糊核k，并导出反模糊核k-1。 逆模糊核由（I）给出，其中h（m）是系列的第一个m项的和（II），δ是狄拉克delta，m大于1，h（m）是二维的 矩阵为M×N。 二维矩阵h（m）与图像像素域中的整个图像一起卷积，以产生模糊减少的图像。 该方法可以应用于允许实时地去除图像序列的视频序列。

公开(公告)号：US20120093402A1

公开(公告)日：2012-04-19

申请号：US13320963

申请日：2009-05-28

申请人： Carl Staelin ,  Stephen Philip Cheatle

发明人： Carl Staelin ,  Stephen Philip Cheatle

IPC分类号： G06K9/62

CPC分类号： G06K9/4671 ,  G06T5/003 ,  G06T5/008 ,  G06T7/11 ,  G06T7/143 ,  G06T7/187 ,  G06T2207/10024 ,  G06T2207/30201

摘要： An electronic image processor (200) for enhancing an artistic intent of an image comprises: an input (210) to receive digital image data of an image to be enhanced; a classifier (220) to identify and classify regions in an image, including assigning to each region one of plural predetermined classifications and a respective degree of confidence in the classification, on the basis of the context of the region within the image, each classification being associated with a perceived degree of saliency of the region to a human viewer of the image; and an enhancer (250) to enhance regions of the image by a degree of enhancement determined at least in part by the respective classification and by the degree of confidence in the classification.

摘要翻译： 一种用于增强图像的艺术意图的电子图像处理器（200），包括：输入（210），用于接收要增强的图像的数字图像数据; 分类器（220），用于识别和分类图像中的区域，包括基于图像内的区域的上下文来分配给多个预定分类中的一个预定分类和相应的分类度，每个分类为 与该地区对图像的人类观察者的显着程度相关联; 以及增强器（250），其通过至少部分地由相应分类和所述分类的置信度确定的增强程度来增强图像的区域。

公开(公告)号：US07983509B1

公开(公告)日：2011-07-19

申请号：US11756350

申请日：2007-05-31

申请人： Ron Banner ,  Carl Staelin

发明人： Ron Banner ,  Carl Staelin

IPC分类号： G06K9/40

CPC分类号： G06T5/003 ,  G06T2207/10008 ,  G06T2207/10056 ,  G06T2207/20201

摘要： In a method for estimating a point spread function of an image capture device, a first function representing a captured version of a first test image is obtained, where the first test image containing a substantially ideal vertical transition. A second function representing a captured version of a second test image is also obtained, where the second test image contains a substantially ideal horizontal transition. In addition, the point spread function is estimated from the first function and the second function. Also disclosed herein is a method for image degradation compensation that employs the method for estimating a point spread function.

摘要翻译： 在用于估计图像捕获装置的点扩展函数的方法中，获得表示第一测试图像的捕获版本的第一函数，其中第一测试图像包含基本理想的垂直转换。 还获得表示第二测试图像的捕获版本的第二函数，其中第二测试图像包含基本上理想的水平转换。 另外，从第一函数和第二函数估计点扩散函数。 这里还公开了一种图像劣化补偿的方法，其采用用于估计点扩散函数的方法。

公开(公告)号：US20100246952A1

公开(公告)日：2010-09-30

申请号：US12745799

申请日：2007-12-04

申请人： Ron Banner ,  Michal Aharon ,  Carl Staelin

发明人： Ron Banner ,  Michal Aharon ,  Carl Staelin

IPC分类号： G06K9/40 ,  G06K9/00

CPC分类号： G06T5/002 ,  G06T5/003 ,  G06T2207/20024 ,  G06T2207/20182

摘要： Method and system embodiments of the present invention are directed to restoration of corrupted images using spatial-domain image-processing methods that can effectively employ spatial-domain information both in order to avoid various types of artifacts and distortions produced by frequency-domain image-processing operations and to achieve computational efficiency. The various method and system embodiments of the present invention employ a family of penalty functions to constrain iterative restoration images corrupted by both deterministic corruptions, such as motion-induced blur and blurring due to optical misalignment, incorrect positioning of optical components, and defective optical components as well as essentially non-deterministic noise corruption introduced at various stages of image acquisition, image encoding, image storage, and image transmission.

摘要翻译： 本发明的方法和系统实施例涉及使用可以有效地采用空间域信息的空间域图像处理方法来恢复损坏的图像，以便避免由频域图像处理产生的各种类型的假象和失真 操作和实现计算效率。 本发明的各种方法和系统实施例使用一系列惩罚函数来约束由确定性损坏所破坏的迭代恢复图像，例如由于光学偏移导致的运动引起的模糊和模糊，光学部件的不正确定位和有缺陷的光学部件 以及在图像采集，图像编码，图像存储和图像传输的各个阶段引入的基本上非确定性的噪声损坏。