会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 5. 发明申请
    • Unified spatial image processing
    • 统一空间图像处理
    • US20090034870A1
    • 2009-02-05
    • US11888572
    • 2007-07-31
    • Renato KeshetPavel KisilevMani FischerDoron ShakedBoris Oicherman
    • Renato KeshetPavel KisilevMani FischerDoron ShakedBoris Oicherman
    • G06K9/40
    • G06T5/001G06T2207/20016G06T2207/20028
    • Various embodiments of the present invention are directed to methods and systems for image processing that are unified in nature, carrying out many image-enhancement tasks together in a unified approach, rather than sequentially executing separately implemented, discrete image-enhancement tasks. In addition, the methods and systems of the present invention can apply image-enhancement to local, spatial regions of an image, rather than relying on global application of enhancement techniques that result in production of artifacts and distortions. In certain embodiments of the present invention, various different types of intermediate images are produced at each of a number of different scales from a received, input image. From these intermediate images, a photographic mask and temporary image are obtained, and the photographic mask and temporary image are then employed, along with a look-up table or function that receives values from the photographic mask and temporary image, to compute an enhanced, output image. In a described embodiment of the present invention, the intermediate images include low-pass, band-pass, photographic-mask, and temporary-image intermediate images computed at each of a number of different scales.
    • 本发明的各种实施例涉及用于图像处理的方法和系统,这些方法和系统本质上是统一的,以统一的方式一起执行许多图像增强任务,而不是顺序执行单独实现的离散图像增强任务。 此外,本发明的方法和系统可以将图像增强应用于图像的局部,空间区域,而不是依赖于导致产生伪像和失真的增强技术的全局应用。 在本发明的某些实施例中,在从接收的输入图像的多个不同尺度的每一个处产生各种不同类型的中间图像。 从这些中间图像,获得摄影掩模和临时图像,然后使用摄影掩模和临时图像,以及从摄影掩模和临时图像接收值的查找表或功能,以计算增强的, 输出图像。 在本发明的一个描述的实施例中,中间图像包括在多个不同尺度的每一个处计算的低通,带通,照相掩模和临时图像中间图像。
    • 6. 发明授权
    • Bilateral filtering in a demosaicing process
    • 双面过滤在去马赛克过程中
    • US06816197B2
    • 2004-11-09
    • US09814672
    • 2001-03-21
    • Renato KeshetDanny BarashDoron ShakedMichael EladRonny Kimmel
    • Renato KeshetDanny BarashDoron ShakedMichael EladRonny Kimmel
    • H04N5335
    • G06T3/4015
    • Demosaicing convolution kernels are incorporated into the framework of bilateral filtering in order to reduce artifacts at abrupt intensity transitions when a color mosaic pattern is converted to an output image. As a consequence of the bilateral filtering within a window that is selected without intensity considerations, intensity values of pixels that are physically close are given greater weight than intensity values of more distant pixels and, simultaneously, intensity values that are quantitatively similar (i.e., photometrically similar) are given greater weight than intensity values that are quantitatively dissimilar. Using photometric similarity in a demosaicing operation reduces the effects of pixels on one side of an abrupt intensity transition in determining interpolated intensity values for pixels on the opposite side of the abrupt intensity transition.
    • 将去马赛克卷积核并入到双边过滤的框架中,以便当将彩色马赛克图案转换为输出图像时,在突然强度转换时减少伪像。 作为在没有强度考虑的窗口内的双边滤波的结果,物理上接近的像素的强度值被赋予比更远的像素的强度值更大的权重,并且同时具有定量相似的强度值(即,光度法 相似)被赋予比定量不相似的强度值更大的权重。 在去马赛克操作中使用光度相似性在确定突然强度转变的相对侧上的像素的内插强度值中减少突然强度转变的一侧的像素的影响。
    • 9. 发明申请
    • Robust recursive envelope operators for fast retinex-type processing
    • 强大的递归包络运算符用于快速retinex型处理
    • US20050073702A1
    • 2005-04-07
    • US10675943
    • 2003-10-02
    • Doron ShakedRenato Keshet
    • Doron ShakedRenato Keshet
    • G06T5/00G06T5/20G06T5/30G06F15/00G03F3/08
    • G06T5/008G06T5/20G06T2207/10024
    • A robust recursive operator for fast implementation of the computationally intensive module of Retinex-type image enhancement algorithms. The proposed module includes a cascaded recursive filter. The parameters of the filter are a function of the input signal, and are scale independent. Furthermore, the image is first processed according to an open and close prefilter, followed by application of the cascaded recursive filters. After application of the cascaded recursive filters, a post filter maximum output is applied to the signal. The module will usually be used as a part of a Retinex-type image processing system, which might use it after some preprocessing of an input image, and which will result in a manipulation of the input image and the module's output image.
    • 一种强大的递归算子,用于快速实现Retinex型图像增强算法的计算密集型模块。 所提出的模块包括级联递归滤波器。 滤波器的参数是输入信号的函数,并且是与比例无关的。 此外,首先根据打开和关闭的预过滤器处理图像,然后应用级联递归滤波器。 在应用级联递归滤波器之后,对信号应用后置滤波器最大输出。 该模块通常被用作Retinex型图像处理系统的一部分,在输入图像进行一些预处理之后可以使用该图像处理系统,这将导致对输入图像和模块输出图像的操纵。
    • 10. 发明授权
    • System and method for counterfeit protection
    • 防伪系统和方法
    • US06553136B1
    • 2003-04-22
    • US09429515
    • 1999-10-28
    • Renato KeshetDoron Shaked
    • Renato KeshetDoron Shaked
    • G06K900
    • G06K9/4671G06K9/4609G06K9/4652G07D7/20
    • A system and a method for preventing counterfeiting activities utilize an image detection scheme that uses only a few portions of restricted-document images, i.e., templates, to determine whether an input image is a duplicate of a restricted-document image. The image detection scheme can reliably operate at very low resolutions, which allows the use of small kernels for image correlation and reduces the number of pixels that have to be actually processed. The system is designed to be incorporated into a host device, such as a copy machine, a scanner, a personal computer or a printer, to detect a potential counterfeiting activity, so that an appropriate action can be taken to prevent and/or to report the detected activity. The image detection scheme allows the system to operate at an increased detection speed, while minimizing the memory requirement. During an off-line training procedure, a training module of the system derives a parameter file that contains detection descriptors for the restricted-document images, including threshold intervals that are defined using selected kernels and templates of the restricted-document images. The type of kernels and templates selected by the training module can vary, depending on the desired memory requirement and the desired on-line performance. During an on-line detection procedure, a detection module of the system projects portions of the input image and compares the resulting projection value with the threshold intervals to derive template match candidates. The relative coordinates of the template match candidates in the input image are then compared with relative coordinates of the templates in the restricted-document images to determine if the input image matches a particular restricted-document image.
    • 用于防止伪造活动的系统和方法利用仅使用限制文件图像的几个部分(即,模板)的图像检测方案来确定输入图像是否是受限制文档图像的副本。 图像检测方案可以以非常低的分辨率可靠地操作,这允许使用小的内核进行图像相关,并减少必须实际处理的像素数量。 该系统被设计成并入到主机设备中,例如复印机,扫描仪,个人计算机或打印机,以检测潜在的假冒活动,从而可以采取适当的行动来防止和/或报告 检测到的活动。 图像检测方案允许系统以增加的检测速度操作,同时最小化存储器需求。 在离线训练过程中,系统的训练模块导出包含受限制文档图像的检测描述符的参数文件,包括使用所选择的内核和限制文档图像的模板定义的阈值间隔。 训练模块选择的内核和模板的类型可以根据所需的内存要求和所需的在线性能而有所不同。 在线检测过程中,系统的检测模块投影输入图像的部分,并将所得到的投影值与阈值间隔进行比较以得到模板匹配候选。 然后将输入图像中的模板匹配候选的相对坐标与限制文档图像中的模板的相对坐标进行比较,以确定输入图像是否与特定的受限制文档图像匹配。