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
    • 1. 发明授权
    • Development system for an integrated circuit having standardized hardware objects
    • 具有标准化硬件对象的集成电路开发系统
    • US07673275B2
    • 2010-03-02
    • US11466337
    • 2006-08-22
    • Anthony Mark Jones
    • Anthony Mark Jones
    • G06F17/50
    • G06F17/5045
    • Embodiments of the invention include a system for integrated circuit development. Elements of the development system include hardware and software objects. These objects can be instanced, ordered, parameterized, and connected in a software environment to implement different functions. Once in software, the description defines the topology and the properties of a set of objects and hence the overall function. These objects are hierarchically composed from a set of primitive objects. By using a piece of hardware that can model any primitive object set as pre-established encapsulated hardware objects, the topology and properties define a piece of hardware that can perform the desired, implemented, functions. Using embodiments of the invention, circuit designers can design hardware systems with little or no knowledge of hardware or hardware design, requiring only a high-level software description.
    • 本发明的实施例包括用于集成电路开发的系统。 开发系统的元素包括硬件和软件对象。 这些对象可以在软件环境中实例化,排序,参数化和连接,以实现不同的功能。 一旦在软件中,描述定义了一组对象的拓扑和属性,从而定义了整体功能。 这些对象由一组原始对象分层组成。 通过使用可以将任何原始对象集合建模为预先建立的封装硬件对象的硬件,拓扑和属性定义了可执行所需实现的功能的一块硬件。 利用本发明的实施例,电路设计者可以很少地或不知道硬件或硬件设计的硬件系统来设计,仅需要高级软件描述。
    • 3. 发明授权
    • Lens shading correction for autofocus and zoom lenses
    • 自动对焦和变焦镜头的镜头阴影校正
    • US08223229B2
    • 2012-07-17
    • US12496687
    • 2009-07-02
    • Hugh Phu Nguyen
    • Hugh Phu Nguyen
    • H04N9/64H04N5/235H04N5/217
    • H04N5/3572G06T5/008G06T5/50
    • In one embodiment of the invention, there is provided a method of correcting a captured image for lens shading artifacts, the captured image being captured by an image capture system, the method comprising: determining a function L(x, y) being a lens shading correction function to be applied to images captured by a lens of the image capture system in order to correct for lens shading artifacts; if a focal length associated with the captured image is less than a focal length associated with, the function L(x, y) then cropping the function L(x, y) based on the focal length associated with the captured image; and scaling the cropped function L(x, y) to a size of the tin-cropped Junction L(x, y).
    • 在本发明的一个实施例中,提供了一种校正用于镜头遮蔽伪像的捕获图像的方法,所捕获的图像被图像捕获系统捕获,该方法包括:确定作为透镜遮蔽的函数L(x,y) 校正功能被应用于由图像捕捉系统的镜头捕获的图像,以便校正透镜遮蔽伪影; 如果与拍摄图像相关联的焦距小于与之相关联的焦距,则功能L(x,y)然后基于与拍摄图像相关联的焦距裁剪功能L(x,y); 并将裁剪后的函数L(x,y)缩放为锡切割结L(x,y)的大小。
    • 6. 发明授权
    • System of hardware objects
    • 硬件对象系统
    • US07865637B2
    • 2011-01-04
    • US10871329
    • 2004-06-18
    • Anthony Mark JonesPaul M. Wasson
    • Anthony Mark JonesPaul M. Wasson
    • G06F3/00G06F5/00
    • G06F17/5045
    • Elements of the inventive development system include hardware and software objects. These objects can be instanced, ordered, parameterized, and connected in a software environment to implement different functions. Once in software, the description defines the topology and the properties of a set of objects and hence the overall function. These objects are hierarchically composed from a set of primitive objects. By using a piece of hardware that can model any primitive object set as pre-established encapsulated hardware objects, the topology and properties define a piece of hardware that can perform the desired, implemented, functions. Using embodiments of the invention, circuit designers can design hardware systems with little or no knowledge of hardware or hardware design, requiring only a high-level software description.
    • 本发明的开发系统的元件包括硬件和软件对象。 这些对象可以在软件环境中实例化,排序,参数化和连接,以实现不同的功能。 一旦在软件中,描述定义了一组对象的拓扑和属性,从而定义了整体功能。 这些对象由一组原始对象分层组成。 通过使用可以将任何原始对象集合建模为预先建立的封装硬件对象的硬件,拓扑和属性定义了可执行所需实现的功能的一块硬件。 利用本发明的实施例,电路设计者可以很少或不知道硬件或硬件设计的硬件系统,只需要高级软件描述。
    • 7. 发明授权
    • Automatic color calibration of an image sensor
    • 图像传感器的自动色彩校准
    • US07586521B2
    • 2009-09-08
    • US11341323
    • 2006-01-27
    • Ping Wah Wong
    • Ping Wah Wong
    • H04N5/228
    • H04N9/69H04N9/735H04N17/002
    • In one embodiment of the invention, a method is provided. The method, comprises (a) determining a white balance correction parameter for a white balance correction processing block for an image sensor, and including the white balance correction parameter in the white balance correction processing block; (b) determining a gamma correction parameter for a gamma correction processing block for the image sensor, and including the gamma correction parameter in the gamma correction processing block; and (c) determining a color correction parameter for a color correction processing block for the image sensor, and including the color correction parameter in the color correction processing block.
    • 在本发明的一个实施例中,提供了一种方法。 该方法包括:(a)确定用于图像传感器的白平衡校正处理块的白平衡校正参数,并且在白平衡校正处理块中包括白平衡校正参数; (b)确定用于图像传感器的伽马校正处理块的伽马校正参数,并在伽马校正处理块中包括伽马校正参数; 以及(c)确定用于图像传感器的颜色校正处理块的颜色校正参数,并且在颜色校正处理块中包括颜色校正参数。
    • 8. 发明授权
    • Method and apparatus for sharpening digital images
    • 用于锐化数字图像的方法和装置
    • US08203620B2
    • 2012-06-19
    • US12769153
    • 2010-04-28
    • Ping Wah WongHong Chen
    • Ping Wah WongHong Chen
    • H04N5/228
    • G06T5/004
    • Disclosed is a method for sharpening a digital image captured by a digital imaging device, the method comprising, for each pixel Xm,n of the digital image: a) at an edge detector determining an edge parameter E, the edge parameter E providing an indication of whether the pixel Xm,n is at an edge of the digital image; b) at a noose detector determining a noise parameter σ, the noise parameter σ providing an indication of whether the pixel Xm,n is a noise in the digital image; c) at a scaling module determining a scaling factor αm,n based on a combination of the edge parameter E and the noise parameter σ; and d) at an image sharpening module applying the scaling factor αm,n on a pixel by pixel basis to sharpen the digital image to get a sharpened pixel Ym,n.
    • 公开了一种用于锐化由数字成像装置捕获的数字图像的方法,所述方法包括:对于数字图像的每个像素X m,n,a)在边缘检测器确定边缘参数E时,边缘参数E提供指示 是否像素Xm,n处于数字图像的边缘; b)在确定噪声参数的噪声检测器中,噪声参数&sgr; 提供像素Xm,n是数字图像中的噪声的指示; c)在缩放模块处,基于边缘参数E和噪声参数的组合来确定缩放因子αm,n; 以及d)在图像锐化模块上逐个像素地应用缩放因子αm,n,以锐化数字图像以得到锐化像素Ym,n。
    • 9. 发明申请
    • METHOD AND APPARATUS FOR SHARPENING DIGITAL IMAGES
    • 用于数字图像的方法和装置
    • US20110267484A1
    • 2011-11-03
    • US12769153
    • 2010-04-28
    • Ping Wah WongHong Chen
    • Ping Wah WongHong Chen
    • H04N5/228
    • G06T5/004
    • Disclosed is a method for sharpening a digital image captured by a digital imaging device, the method comprising, for each pixel Xm,n of the digital image: a) at an edge detector determining an edge parameter E, the edge parameter E providing an indication of whether the pixel Xm,n is at an edge of the digital image; b) at a noose detector determining a noise parameter σ, the noise parameter σ providing an indication of whether the pixel Xm,n is a noise in the digital image; c) at a scaling module determining a scaling factor αm,n based on a combination of the edge parameter E and the noise parameter σ; and d) at an image sharpening module applying the scaling factor αm,n on a pixel by pixel basis to sharpen the digital image to get a sharpened pixel Ym,n.
    • 公开了一种用于锐化由数字成像装置捕获的数字图像的方法,所述方法包括:对于数字图像的每个像素X m,n,a)在边缘检测器确定边缘参数E时,边缘参数E提供指示 是否像素Xm,n处于数字图像的边缘; b)在确定噪声参数的噪声检测器中,噪声参数&sgr; 提供像素Xm,n是数字图像中的噪声的指示; c)在缩放模块处,基于边缘参数E和噪声参数的组合来确定缩放因子αm,n; 以及d)在图像锐化模块上逐个像素地应用缩放因子αm,n,以锐化数字图像以得到锐化像素Ym,n。
    • 10. 发明授权
    • Method and apparatus for scaling down a bayer domain image
    • 用于缩小拜耳域图像的方法和装置
    • US07742636B2
    • 2010-06-22
    • US11341712
    • 2006-01-26
    • Ping Wah Wong
    • Ping Wah Wong
    • G06T3/40
    • G06T3/4015H04N5/3458H04N5/347H04N9/045
    • In one embodiment of the invention, a method is provided. The method, comprises scaling down a Bayer domain image made up of a number of 2×2 basic units, each having a Red (R) pixel, a Blue (B) pixel, and two green (G) pixels arranged in a fixed configuration and replicated throughout the image, the method comprising (a) partitioning the image into 2M×2N input blocks, where M and N are integers greater than or equal to 1; (b) for each 2M×2N input block, averaging a selection of R pixels in the block to produce a R pixel in a scaled down image corresponding to the Bayer domain image; (c) averaging a selection of B pixels in the block to produce a B pixel in the scaled down image; and (d) partitioning the 2M×2N input block into first and second triangular regions, and averaging a selection of pixels in the first triangular region to produce a first G pixel in the scaled down image, and averaging a selection of pixels in the second triangular region to produce a second G pixel in the scaled down image.
    • 在本发明的一个实施例中,提供了一种方法。 该方法包括缩小由多个2×2基本单元组成的拜耳域图像,每个基本单元具有以固定配置排列的Red(R)像素,Blue(B)像素和两个绿色(G)像素) 并且在整个图像中复制,该方法包括(a)将图像分割成2M×2N个输入块,其中M和N是大于或等于1的整数; (b)对于每个2M×2N个输入块,对块中的R个像素的选择进行平均,以产生对应于拜耳域图像的缩小图像中的R像素; (c)对所述块中的B像素的选择进行平均以在缩小图像中产生B像素; 以及(d)将所述2M×2N个输入块分割为第一和第二三角形区域,对所述第一三角形区域中的像素的选择进行平均,以产生所述缩小图像中的第一G像素,并且对所述第二三角形区域中的像素的选择进行平均 三角形区域以在缩小图像中产生第二G像素。