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    • 61. 发明授权
    • Estimating a visible vector representation for pixels in an infrared image
    • 估计红外图像中像素的可见向量表示
    • US08810658B2
    • 2014-08-19
    • US13364835
    • 2012-02-02
    • Sandra SkaffRaja BalaLalit Keshav MesthaBeilei Xu
    • Sandra SkaffRaja BalaLalit Keshav MesthaBeilei Xu
    • H04N5/33
    • H04N5/33G06T7/90G06T2207/10048H04N5/332H04N9/045H04N9/43
    • What is disclosed is a system and method for estimating color for pixels in an infrared image. In one embodiment, an infrared image is received which has been captured using a N-band infrared imaging system comprising a multi-spectral camera or a hyperspectral camera. The IR image is composed of an array of pixels with N intensity values having been collected for each pixel in the image. Then, for each pixel of interest, a search metric is used to search a database of vector samples to identify a visible-IR set which is closest to the intensity values of the IR band vector collected for the pixel. A visible vector representation is then estimated for the pixel based upon the visible portion corresponding to the closest visible-IR set. Thereafter, color coordinates for this pixel are computed from the visible vector. The method repeats for all pixels of interest in the IR image.
    • 公开的是用于估计红外图像中的像素的颜色的系统和方法。 在一个实施例中,接收使用包括多光谱相机或高光谱相机的N波段红外成像系统捕获的红外图像。 IR图像由对图像中的每个像素收集的具有N个强度值的像素阵列组成。 然后,对于感兴趣的每个像素,使用搜索度量来搜索向量样本的数据库,以识别最接近为该像素收集的IR带矢量的强度值的可见IR集合。 然后基于对应于最接近的可见IR集的可见部分,针对像素估计可见矢量表示。 此后,从可见矢量计算该像素的颜色坐标。 该方法针对IR图像中所有感兴趣的像素重复。
    • 64. 发明申请
    • METHODS AND SYSTEM FOR ANALYZING AND RATING IMAGES FOR PERSONALIZATION
    • 用于分析和评估个性化图像的方法和系统
    • US20130182946A1
    • 2013-07-18
    • US13349751
    • 2012-01-13
    • Raja BalaZhigang FanHengzhou DingJan P. AllebachCharles A. BoumanReuven J. Sherwin
    • Raja BalaZhigang FanHengzhou DingJan P. AllebachCharles A. BoumanReuven J. Sherwin
    • G06K9/46G06K9/62
    • G06K9/00671G06K9/3258
    • As set forth herein, a computer-implemented method facilitates pre-analyzing an image and automatically suggesting to the user the most suitable regions within an image for text-based personalization. Image regions that are spatially smooth and regions with existing text (e.g. signage, banners, etc.) are primary candidates for personalization. This gives rise to two sets of corresponding algorithms: one for identifying smooth areas, and one for locating text regions. Smooth regions are found by dividing the image into blocks and applying an iterative combining strategy, and those regions satisfying certain spatial properties (e.g. size, position, shape of the boundary) are retained as promising candidates. In one embodiment, connected component analysis is performed on the image for locating text regions. Finally, based on the smooth and text regions found in the image, several alternative approaches are described herein to derive an overall metric for “suitability for personalization.”
    • 如本文所述,计算机实现的方法有助于预分析图像并且自动地向用户建议图像内的最合适的区域用于基于文本的个性化。 具有空间平滑的图像区域和具有现有文本的区域(例如标牌,横幅等)是用于个性化的主要候选者。 这产生了两组相应的算法:一种用于识别平滑区域,一种用于定位文本区域。 通过将图像划分成块并应用迭代组合策略来找到平滑区域,并且满足某些空间属性(例如,边界的大小,位置,形状)的那些区域被保留为有希望的候选者。 在一个实施例中,对用于定位文本区域的图像执行连接分量分析。 最后,基于图像中发现的平滑和文本区域,本文描述了几种替代方法,以得出“适合个性化”的总体度量。
    • 68. 发明授权
    • Adaptive spatial gamut mapping via dynamic thresholding
    • 通过动态阈值进行自适应空间色域映射
    • US08265387B2
    • 2012-09-11
    • US12429429
    • 2009-04-24
    • Vishal MongaRaja BalaMichael Branciforte
    • Vishal MongaRaja BalaMichael Branciforte
    • G06K9/00
    • H04N1/6069
    • What is disclosed is a novel system and method for performing spatial gamut mapping on a received input color image having a plurality of pixels. A standard gamut-mapping algorithm is applied to the input color image to produce a gamut-mapped color image. A difference is computed between a selected channel of the input color image and the gamut-mapped image to produce a difference image. A local measure of complexity is derived for a given pixel in the difference image. One or more parameter values of a spatial bilateral filter are obtained from a lookup table based on the computed local measure of complexity. The spatial bilateral filter is applied, using the obtained parameter values, to the current pixel of the difference image to produce a modified pixel in a modified difference image. Thereafter, a modified gamut-mapped color image is obtained from the modified difference image and the gamut-mapped color image.
    • 所公开的是用于对具有多个像素的接收输入彩色图像执行空间色域映射的新型系统和方法。 将标准色域映射算法应用于输入彩色图像以产生色域映射彩色图像。 在输入彩色图像的选定通道和色域映射图像之间计算差异以产生差分图像。 导出差分图像中给定像素的局部度量度量。 基于所计算的本地复杂度测量,从查找表获得空间双边滤波器的一个或多个参数值。 使用获得的参数值将空间双边滤波器应用于差分图像的当前像素,以产生经修改的差分图像中的修改像素。 此后,从修改的差分图像和色域映射彩色图像获得修改的色域映射彩色图像。
    • 69. 发明授权
    • GAMUT aim and GAMUT mapping method for spatially varying color lookup tables
    • 用于空间变化颜色查找表的GAMUT目标和GAMUT映射方法
    • US08077352B2
    • 2011-12-13
    • US12359649
    • 2009-01-26
    • Edgar BernalRobert P LoceRaja Bala
    • Edgar BernalRobert P LoceRaja Bala
    • G06F15/00
    • H04N1/60H04N1/409
    • An image processing apparatus, program product, and method determine an achievable gamut achievable by the imaging engine or engines for all spatial locations of an output image, or all utilized print engines. A reference gamut is calculated which is any gamut containing the achievable gamut. A gamut mapping is used to map gamuts from the mean gamut to the achievable gamut, and a set of transformations is calculated for each of a set of input colors to a set of target colors selected from colors in the achievable gamut. Values for a received digital image are transformed for each image pixel or clusters of pixels based on the calculated set of transformations. Output images are generated based on the transformed values.
    • 图像处理装置,程序产品和方法确定由输出图像或所有使用的打印引擎的所有空间位置的成像引擎或引擎可实现的可实现色域。 计算参考色域,其中包含可实现色域的任何色域。 色域映射用于将色域从均匀色域映射到可实现色域,并且将一组输入颜色中的每一个计算为从可实现色域中的颜色中选择的一组目标颜色的一组变换。 基于所计算的变换集合,针对每个图像像素或像素簇变换接收数字图像的值。 基于变换后的值生成输出图像。
    • 70. 发明授权
    • Method, system and apparatus for jointly calibrating color digital cameras and monitors
    • 用于联合校准彩色数码相机和显示器的方法,系统和设备
    • US08035688B2
    • 2011-10-11
    • US11880052
    • 2007-07-19
    • David SnydermanGeoffrey John WoolfeRaja Bala
    • David SnydermanGeoffrey John WoolfeRaja Bala
    • H04N17/00
    • H04N9/73G01J3/10G01J3/50G01J3/506G01J3/524G09G2320/0693H04N17/02
    • A computer program product and method for calibrating and characterizing a color display perform calibrating and characterizing steps. A light source is operated in order to emit light from one or more light emitters on the light source. A color capture device, e.g., a digital camera, is calibrated and characterized based on the emitted light. Then, color images are displayed on the color display and captured on the color capture device. The color display is calibrated and characterized based on the captured color images. Computer program instructions are recorded on the computer readable medium, and are executable by a processor, for performing the calibrating and characterizing steps. A method for generating a controlled light source includes displaying light source selections to a user and receiving a user light source selection. Selected light emitters produce a light output matching the user light source selection.
    • 用于校准和表征彩色显示器的计算机程序产品和方法执行校准和表征步骤。 操作光源以便从光源上的一个或多个光发射器发射光。 基于发射的光来校准和表征彩色捕获装置,例如数字照相机。 然后,彩色图像被显示在彩色显示器上并捕获在彩色捕获装置上。 基于捕获的彩色图像校准和表征彩色显示。 计算机程序指令被记录在计算机可读介质上,并且可由处理器执行,用于执行校准和表征步骤。 用于产生受控光源的方法包括向用户显示光源选择并接收用户光源选择。 所选择的发光体产生与用户光源选择相匹配的光输出。