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1. 发明申请

WO2013032441A1 INSERTING AN OBJECT INTO AN IMAGE 审中-公开
标题翻译：将对象插入到图像中
公开(公告)号：WO2013032441A1
公开(公告)日：2013-03-07
申请号：PCT/US2011/049666
申请日：2011-08-30
申请人： HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P. , BERKOVIC, Alexander , KISILEV, Pavel
发明人： BERKOVIC, Alexander , KISILEV, Pavel
IPC分类号： H04N1/387 , G06T1/00
CPC分类号： G06T11/60 , G06T7/11 , G06T7/143 , G06T7/187 , G06T2207/10024 , G06T2207/20036 , H04N1/387
摘要： A method (10) can comprise detecting (40) a shadow for a reference object (356) in a target image (350) in response to user input marking the reference object (356). The method can also comprise forming (170) a shadow (652) for an insertion object (310) to be inserted into the target image (350) based on the detected shadow for the reference object (356). The method can further comprise inserting (180) the shadow (652) for the insertion object (310) into the target image (350).
摘要翻译：方法（10）可以包括响应于标记参考对象（356）的用户输入来检测（40）目标图像（350）中的参考对象（356）的阴影。该方法还可以包括基于检测到的参考对象的阴影（356）来形成（170）用于插入对象（310）的阴影（652）以插入到目标图像（350）中。该方法还可以包括将用于插入对象（310）的阴影（652）插入（180）到目标图像（350）中。

2. 发明申请

WO2009078862A1 IMAGE PROCESSING USING TARGET VALUES 审中-公开
标题翻译：使用目标值的图像处理
公开(公告)号：WO2009078862A1
公开(公告)日：2009-06-25
申请号：PCT/US2007/087825
申请日：2007-12-17
申请人： HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P. , KISILEV, Pavel , OICHERMAN, Boris
发明人： KISILEV, Pavel , OICHERMAN, Boris
IPC分类号： G06T5/00
CPC分类号： G06T5/40 , G06T5/009 , G06T2207/20092 , H04N1/6027
摘要： Provided are, among other things, systems, methods and techniques for processing an image. In one representative implementation, input image values are obtained for an input image; values for image parameters are measured across the input image values; target values for the image parameters are input; a transformation is applied to the input image values to produce corresponding output image values, the transformation having been generated as a result of a plurality of individual image-value operations that have been constrained by the target values in order to control the image parameters across the output image values; and a processed output image is output based on the output image values.
摘要翻译：除其他之外，提供用于处理图像的系统，方法和技术。在一个代表性实现中，为输入图像获得输入图像值; 跨输入图像值测量图像参数的值; 输入图像参数的目标值; 将变换应用于输入图像值以产生相应的输出图像值，该变换已经被已经被目标值约束的多个单独的图像值操作的结果生成，以便控制跨越图像参数的图像参数输出图像值; 并且基于输出图像值输出经处理的输出图像。

3. 发明申请

WO2013048416A1 DETERMINING NEW COLOR VALUES OF AN IMAGE BASED ON AN ACTIVITY MAP 审中-公开
标题翻译：基于活动图确定图像的新颜色值
公开(公告)号：WO2013048416A1
公开(公告)日：2013-04-04
申请号：PCT/US2011/054024
申请日：2011-09-29
申请人： HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P. , KISILEV, Pavel , KESHET, Renato , AHARON, Michal , STAELIN, Carl , SIVAN, Yohanan , BRAVERMAN, Gregory , SHAPIRA, Lior , OICHERMAN, Boris
发明人： KISILEV, Pavel , KESHET, Renato , AHARON, Michal , STAELIN, Carl , SIVAN, Yohanan , BRAVERMAN, Gregory , SHAPIRA, Lior , OICHERMAN, Boris
IPC分类号： G06F3/12
CPC分类号： G06K15/1872 , G06F3/1208 , G06F3/1219 , G06F3/1247 , G06F3/1279 , G06K15/188 , H04N1/6016 , H04N1/6022
摘要： A method comprises computing an activity map for an input image. The activity map indicates an amount of variable spatial activity in the input image. The method further comprises producing an output image based on the activity map, and controlling a printhead to cause the output image to be printed. The output image contains a plurality of color pixels and each such color pixel is represented by at least one of cyan (C), magenta (M), yellow (Y), and black (K) in a color space.
摘要翻译：一种方法包括计算输入图像的活动图。活动图表示输入图像中的可变空间活动量。该方法还包括基于活动图产生输出图像，并且控制打印头以使打印输出图像。输出图像包含多个彩色像素，并且每个这样的颜色像素在颜色空间中由青色（C），品红色（M），黄色（Y）和黑色（K）中的至少一个表示。

4. 发明申请

WO2012138343A1 GRAPHICAL OBJECT CLASSIFICATION 审中-公开
标题翻译：图形对象分类
公开(公告)号：WO2012138343A1
公开(公告)日：2012-10-11
申请号：PCT/US2011/031615
申请日：2011-04-07
申请人： HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P. , FREEDMAN, Daniel , KISILEV, Pavel , DUBROVINA, Anastasia , SCHEIN, Sagi , BERGMAN, Ruth
发明人： FREEDMAN, Daniel , KISILEV, Pavel , DUBROVINA, Anastasia , SCHEIN, Sagi , BERGMAN, Ruth
IPC分类号： G06F3/048 , G06F3/14
CPC分类号： G06F3/0482 , G06F3/0481 , G06F3/04817 , G06F3/04847 , G06K9/00476 , G06K9/4642 , G06K9/4647
摘要： In one implementation, a graphical object classification system includes an acquisition module, a signature generation module, and a classification module. The acquisition module accesses a representation of a graphical object. The signature generation module generates an appearance-invariant signature of the graphical object based on the representation. The classification module classifies the graphical object based on the appearance-invariant signature.
摘要翻译：在一个实现中，图形对象分类系统包括获取模块，签名生成模块和分类模块。采集模块访问图形对象的表示。签名生成模块基于该表示来生成图形对象的外观不变签名。分类模块根据外观不变签名对图形对象进行分类。

5. 发明申请

WO2011049565A1 REAL-TIME VIDEO DEBLURRING 审中-公开
标题翻译：实时视频脱机
公开(公告)号：WO2011049565A1
公开(公告)日：2011-04-28
申请号：PCT/US2009/061542
申请日：2009-10-21
申请人： BANNER, Ron , STAELIN, Carl , KISILEV, Pavel , SCHEIN, Sagi , HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.
发明人： BANNER, Ron , STAELIN, Carl , KISILEV, Pavel , SCHEIN, Sagi
IPC分类号： H04N5/21 , G06T5/00
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 x 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项的总和（II），d是狄拉克delta，m大于1，h（m）是二维的矩阵的大小为M×N。二维矩阵h（m）与图像在图像像素域中的整个图像卷积以产生具有减小的模糊的图像。该方法可以应用于允许实时地去除图像序列的视频序列。

6. 发明申请

WO2009154596A1 METHOD AND SYSTEM FOR EFFICIENT VIDEO PROCESSING 审中-公开
标题翻译：高效视频处理方法与系统
公开(公告)号：WO2009154596A1
公开(公告)日：2009-12-23
申请号：PCT/US2008/007671
申请日：2008-06-20
申请人： HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P. , KISILEV, Pavel , SCHEIN, Sagi
发明人： KISILEV, Pavel , SCHEIN, Sagi
IPC分类号： H04N1/409
CPC分类号： H04N5/21 , G06T5/002 , G06T2207/10016 , G06T2207/20004 , G06T2207/20182 , G06T2207/20192 , H04N7/15
摘要： Embodiments of the present invention are directed to efficient video processing methods and systems for computationally efficient denoising, sharpening, contrast enhancement, deblurring, and other spatial and temporal processing of a stream of video frames. Embodiments of the present invention separate statistics-related calculations, including estimation of pixel-value-associated variances, standard deviations, noise thresholds, and signal-contrast thresholds, carried out on only a small percentage of video frames selected at a fixed or variable interval from the video stream, from various spatial and temporal processing steps carried out on each frame of the video stream. In certain embodiments of the present invention, the statistics-related calculations are carried out by the general processor or processors of a computer system, while the frame-by-frame spatial and temporal processing is carried out by one or more specialized graphics processors within the computer system.
摘要翻译：本发明的实施例涉及用于视频帧流的计算有效的去噪，锐化，对比度增强，去模糊和其他空间和时间处理的有效视频处理方法和系统。本发明的实施例将统计学相关的计算分开，包括仅在以固定或可变间隔选择的小百分比的视频帧上执行的像素值相关方差的估计，标准偏差，噪声阈值和信号对比度阈值来自视频流，来自在视频流的每个帧上执行的各种空间和时间处理步骤。在本发明的某些实施例中，统计相关计算由计算机系统的一般处理器或处理器执行，而逐帧空间和时间处理由一个或多个专用图形处理器执行电脑系统。

7. 发明申请

WO2008005497A1 IMAGE- FEATURE- AWARE IMAGE DEFECT REMOVAL 审中-公开
标题翻译：图像特征 - 识别图像缺陷去除
公开(公告)号：WO2008005497A1
公开(公告)日：2008-01-10
申请号：PCT/US2007/015481
申请日：2007-07-03
申请人： HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P. , KISILEV, Pavel
发明人： KISILEV, Pavel
IPC分类号： H04N1/409 , G06T5/00 , G06T5/30
CPC分类号： H04N1/4097 , G06T5/005 , G06T5/30 , G06T2207/20016 , H04N1/00092
摘要： Provided are systems, methods and techniques which use local image properties to determine which potential defects in an image should be corrected. In one representative embodiment, potential defects in an image are identified based on edge sharpness, and measures of strength for the different potential defects are calculated. The measures of strength for the potential defects are then evaluated in view of certain local properties of the image, in an immediate vicinity of such potential defects, in order to identify the image defects to be corrected.
摘要翻译：提供了使用局部图像属性来确定图像中哪些潜在缺陷应该被校正的系统，方法和技术。在一个代表性实施例中，基于边缘锐度来识别图像中的潜在缺陷，并且计算不同潜在缺陷的强度测量。然后考虑到图像的某些局部特性，紧靠这些潜在的缺陷来评估潜在缺陷的强度的度量，以便识别要校正的图像缺陷。

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