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
    • 14. 发明授权
    • Systems and methods for calibrating image sensors
    • 用于校准图像传感器的系统和方法
    • US09066072B2
    • 2015-06-23
    • US12839741
    • 2010-07-20
    • Yingjun BaiBrian KeelanGennadiy Agranov
    • Yingjun BaiBrian KeelanGennadiy Agranov
    • H01L27/146H04N1/62H04N9/04H04N17/00
    • H04N17/002H01L27/14632H04N1/628H04N9/045
    • Systems and methods are provided for calibrating image sensors. In some embodiments, a processing module of an image system can automatically perform a self-calibration process after a production unit of an image sensor has been integrated into an end product system. For example, the processing module can calibrate a production unit based on one or more reference pixels of the production unit, where the one or more reference pixels have minimal color filtration. In some embodiments, the processing module may perform local calibrations by correcting specifically for spatial variations in a color filter array (“CFA”). In some embodiments, the processing module can perform global calibrations by correcting for optical density variations in the CFA. In some embodiments, a processing module can determine whether the cause of production variations is related to production variations of a CFA or production variations of an infrared (“IR”) cutoff filter.
    • 提供了校准图像传感器的系统和方法。 在一些实施例中,图像系统的处理模块可以在将图像传感器的生产单元集成到最终产品系统中之后自动执行自校准过程。 例如,处理模块可以基于生产单元的一个或多个参考像素校准生产单元,其中一个或多个参考像素具有最少的颜色过滤。 在一些实施例中,处理模块可以通过特别地校正滤色器阵列(“CFA”)中的空间变化来执行本地校准。 在一些实施例中,处理模块可以通过校正CFA中的光密度变化来执行全局校准。 在一些实施例中,处理模块可以确定生产变化的原因是否与CFA的生产变化或红外线(“IR”)截止滤波器的生产变化有关。
    • 15. 发明授权
    • Color image processing method, color image processing device, and color image processing program
    • 彩色图像处理方法,彩色图像处理装置和彩色图像处理程序
    • US08923575B2
    • 2014-12-30
    • US13702278
    • 2011-06-28
    • Masato Tsukada
    • Masato Tsukada
    • G06K9/00G06K9/40G06K9/32H04N1/62
    • G06K9/00G06T11/001H04N1/62H04N1/628
    • An object area detection means detects an object area which is an area to be subjected to image processing from an input image. A reflection component reconstruction means calculates color information of the object area and a perfect diffusion component, which is a low-frequency component of the object area, and reconstructs a surface reflection component based on the color information and the low-frequency component. An albedo calculation means calculates an albedo, which is color information obtained by removing shading information, which is information that represents luminance of the perfect diffusion component, from the perfect diffusion component. An albedo correction processing means reconstructs a surface reflectance of the object area based on the albedo and the color information in the object area, and then calculates the corrected albedo, which is color information obtained by correcting the albedo based on the surface reflectance.
    • 物体区域检测装置从输入图像检测作为要进行图像处理的区域的对象区域。 反射分量重建装置计算对象区域的颜色信息和作为​​对象区域的低频分量的完美扩散分量,并且基于颜色信息和低频分量来重建表面反射分量。 反照率计算装置计算反照率,其为通过从完美扩散分量去除作为表示完美扩散成分的亮度的信息的阴影信息获得的颜色信息。 反照率校正处理装置基于对象区域中的反照率和颜色信息重建对象区域的表面反射率,然后计算校正的反照率,其是通过基于表面反射率校正反照率获得的颜色信息。
    • 16. 发明授权
    • Image processing device
    • 图像处理装置
    • US08787665B2
    • 2014-07-22
    • US12647164
    • 2009-12-24
    • Masaki Kondo
    • Masaki Kondo
    • G06K9/00
    • H04N1/62H04N1/628
    • An image processing device may create corrected image data by correcting target image data. The image processing device may determine a representative value which represents specific pixels in the object image data, determine a target value based on the representative value and a degree of correction designated by a user, and correct a value of each particular pixel included in the object image data such that the value of the each particular pixel approaches the target value. The each particular pixel may be included in a surrounding area of the representative value.
    • 图像处理装置可以通过校正目标图像数据来创建校正图像数据。 图像处理装置可以确定表示对象图像数据中的特定像素的代表值,基于由用户指定的代表值和修正程度确定目标值,并校正包含在对象中的每个特定像素的值 图像数据使得每个特定像素的值接近目标值。 每个特定像素可以包括在代表值的周围区域中。
    • 17. 发明申请
    • COLOR IMAGE PROCESSING METHOD, COLOR IMAGE PROCESSING DEVICE, AND COLOR IMAGE PROCESSING PROGRAM
    • 彩色图像处理方法,彩色图像处理装置和彩色图像处理程序
    • US20130083969A1
    • 2013-04-04
    • US13702637
    • 2011-06-28
    • Masato Tsukada
    • Masato Tsukada
    • G06K9/00
    • G06K9/00G06T5/005G06T2207/10024G06T2207/30201H04N1/62H04N1/628
    • An object area detection means detects an object area which is an area to be subjected to image processing from an input image. A reflection component reconstruction means calculates color information of the object area and a perfect diffusion component, which is a low-frequency component of the object area, and reconstructs a surface reflection component based on the color information and the low-frequency component. A surface reflection component correction means corrects the reconstructed surface reflection component according to a reference surface reflection component that is the surface reflection component set in advance according to the object area. A reproduced color calculation means calculates a reproduced color that is a color obtained by correcting each pixel included in the input image by using the perfect diffusion component and the corrected surface reflection component and generates an output image based on the reproduced color.
    • 物体区域检测装置从输入图像检测作为要进行图像处理的区域的对象区域。 反射分量重建装置计算对象区域的颜色信息和作为​​对象区域的低频分量的完美扩散分量,并且基于颜色信息和低频分量来重建表面反射分量。 表面反射分量校正装置根据作为根据对象区域预先设置的表面反射分量的参考表面反射分量来校正重建的表面反射分量。 再现颜色计算装置计算通过使用完美扩散分量和校正的表面反射分量校正输入图像中包括的每个像素而获得的颜色的再现颜色,并且基于再现的颜色生成输出图像。
    • 18. 发明授权
    • Image processing method and image processing apparatus
    • 图像处理方法和图像处理装置
    • US08391595B2
    • 2013-03-05
    • US11754161
    • 2007-05-25
    • Shinjiro Hori
    • Shinjiro Hori
    • G06K9/00
    • G06K9/00234H04N1/62H04N1/628
    • In order to accurately determine a face area when performing image correction of an image, a pixel is set as a start point in the face area, then, pixels in which skin color is continuous from the start point are searched, and pixels that have been searched are linked to generate a skin color mask for the image. At the same time, an ellipse mask is generated for an ellipse area that includes the face area and is weighted according to distance from a center thereof, and which is composed with the skin color mask to generate a composition mask indicating the correction area.
    • 为了在进行图像的图像校正时准确地确定面部区域,将像素设置为面部区域中的起始点,然后搜索从起点开始肤色连续的像素,并且已经 搜索被链接以生成图像的肤色蒙版。 同时,对于包括脸部区域的椭圆区域生成椭圆形掩模,并且根据与其中心的距离进行加权,并且由肤色掩模构成以生成指示校正区域的构图掩模。
    • 20. 发明授权
    • White balance control apparatus, control method therefor, and image sensing apparatus
    • 白平衡控制装置及其控制方法和图像感测装置
    • US08184177B2
    • 2012-05-22
    • US12392198
    • 2009-02-25
    • Yuko Kakuta
    • Yuko Kakuta
    • H04N9/73G06K9/00
    • H04N9/735H04N1/608H04N1/628H04N5/23219
    • First white balance correction coefficients computed based on a detected face region, and second white balance correction coefficients for correcting, to a skin color, chromaticity obtained after applying the first white balance correction coefficients to the face region are obtained. The degree of detection reliability of the face region is determined based on the parameter values obtained from the pixels of the face region and predetermined conditions. Resultant white balance correction coefficients are computed from the first white balance correction coefficients and the second white balance correction coefficients to which a smaller weight is applied as the degree of detection reliability is lower. Even when a face region is erroneously detected, high-precision white balance correction coefficients can be obtained.
    • 获得基于检测到的面部区域计算的第一白平衡校正系数和用于校正将脸部区域应用第一白平衡校正系数之后获得的肤色色度的第二白平衡校正系数。 基于从脸部区域的像素和预定条件获得的参数值来确定脸部区域的检测可靠度。 当检测可靠度较低时,从第一白平衡校正系数和应用较小权重的第二白平衡校正系数计算得到的白平衡校正系数。 即使当面部区域被错误地检测到时,也可以获得高精度的白平衡校正系数。