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    • 1. 发明申请
    • SPOT COLOR RENDERING VIA FEEDBACK-BASED MULTI-OBJECTIVE OPTIMIZATION
    • 通过基于反馈的多目标优化进行SPOT色彩渲染
    • US20120327434A1
    • 2012-12-27
    • US13167349
    • 2011-06-23
    • Alvaro Enrique GILLalit Keshav MESTHAWencheng WUEdul N. DALAL
    • Alvaro Enrique GILLalit Keshav MESTHAWencheng WUEdul N. DALAL
    • H04N1/60
    • H04N1/622
    • What is disclosed is a feedback control based system and method for selecting spot color recipes for improved spot color rendition while simultaneously minimizing a function of image quality attributes formed with states defined as vectors such as L*, a*, b*, mottle, graininess, etc. Color is measured with an in-line spectrophotometer or with a full/partial width array. If the sensor is not available, then a model of the print device is used to optimize the function of image quality attributes. In one example embodiment, a spot color of interest is selected along with a set of image quality attributes to be improved for the spot colors of interest. Set points for process actuators and color recipes of the color marking device are adjusted such that a function of the image quality attributes is minimized when the spot color is rendered on the device. Various workflows are disclosed.
    • 所公开的是基于反馈控制的系统和方法,用于选择改进的专色再现的专色配方,同时最小化由定义为诸如L *,a *,b *,斑点,颗粒度的矢量形成的图像质量属性的功能 等等。使用直列分光光度计或全/部分宽度阵列测量颜色。 如果传感器不可用,则使用打印设备的型号来优化图像质量属性的功能。 在一个示例性实施例中,选择感兴趣的专色连同一组图像质量属性以便针对感兴趣的专色进行改进。 调整颜色标记装置的处理执行器和颜色配置的设定点,使得当在设备上呈现专色时,图像质量属性的功能被最小化。 公开了各种工作流程。
    • 3. 发明申请
    • USING A PARETO FRONTIER TO FIND AN OPTIMAL COLOR SOLUTION FOR SPOT CALIBRATION
    • 使用PARETO FRONTIER寻找最佳颜色解决方案进行点校准
    • US20130088729A1
    • 2013-04-11
    • US13253660
    • 2011-10-05
    • Lina FUAlvaro Enrique GILLalit Keshav MESTHA
    • Lina FUAlvaro Enrique GILLalit Keshav MESTHA
    • H04N1/60
    • H04N1/60H04N1/54
    • What is disclosed is a method for determining a color solution which achieves color objectives for a color marking device involves performing the following. In one embodiment, N objectives of interest are identified for a color marking device and a N-dimensional Pareto Front is constructed which comprises a collection of color solutions which accommodates those objectives. The Pareto Front is constructed using an optimization process based upon printer models of the objectives. Color solutions can be at least one color recipe, or a combination of color recipes and process actuators. A target point is selected in an N-dimensional objective space based upon at least one user-selected preference. The target point is then mapped to a point on the Pareto Front. The mapping identifies one of the color solutions which, in turn, is used to generate a spot color for the device. The generated spot color achieves the user-selected preference.
    • 所公开的是确定实现彩色标记装置的色彩目标的色彩解决方案的方法,包括执行以下操作。 在一个实施例中,为彩色标记装置识别出感兴趣的N个目标,并且构造了包括适应这些目标的颜色解决方案集合的N维帕累托前端。 帕累托前面采用基于目标打印机模型的优化过程构建。 颜色解决方案可以是至少一种颜色配方,或颜色配方和过程执行器的组合。 基于至少一个用户选择的偏好在N维目标空间中选择目标点。 目标点然后映射到帕累托阵线上的一个点。 该映射标识了颜色解决方案之一,而这些颜色解决方案又被用于生成设备的专色。 生成的专色实现了用户选择的偏好。
    • 4. 发明申请
    • HYPERSPECTRAL IMAGE RECONSTRUCTION VIA A COMPRESSED SENSING FRAMEWORK
    • 通过压缩感知框架进行超视距图像重建
    • US20130016284A1
    • 2013-01-17
    • US13180895
    • 2011-07-12
    • Lalit Keshav MESTHAAlvaro Enrique GIL
    • Lalit Keshav MESTHAAlvaro Enrique GIL
    • H04N5/14
    • G06T5/50G06T2207/10036
    • What is disclosed is a system and method for image reconstruction using a compressed sensing framework to increase the number of wavelength bands in hyperspectral video systems. The present method utilizes a restricted representation matrix and sampling matrix to reconstruct bands to a very large number without losing information content. Reference multi-band image vectors are created and those vectors are processed in a block-wise form to obtain custom orthonormal representation matrices. A sampling matrix is also constructed offline in the factory. The compressed sensing protocol is applied using a l1-norm optimization (or relaxation) algorithm to reconstruct large number of wavelength bands with each band being interspersed within the band of interest that are not imaged. The teaching hereof leads to very large number of bands without increasing the hardware cost.
    • 所公开的是使用压缩感测框架来增加高光谱视频系统中的波段数目的图像重构的系统和方法。 本方法利用受限表示矩阵和采样矩阵将频带重构成非常大的数目,而不会丢失信息内容。 创建参考多频带图像矢量并且以块形式处理这些矢量以获得自定义正交表示矩阵。 采样矩阵也在工厂内离线构建。 使用l1范数优化(或松弛)算法应用压缩感测协议来重构大量波长带,其中每个频带分散在不成像的感兴趣的频带内。 这里的教学导致非常多的频带,而不增加硬件成本。
    • 7. 发明申请
    • GENERATING AN IMAGE PROFILE LUT FOR A N-COLOR MARKING DEVICE VIA MULTI-OBJECTIVE COST MINIMIZATION
    • 通过多目标成本最小化生成用于N色彩标记设备的图像配置文件列表
    • US20130182266A1
    • 2013-07-18
    • US13351630
    • 2012-01-17
    • Lina FUAlvaro Enrique GILLalit Keshav MESTHA
    • Lina FUAlvaro Enrique GILLalit Keshav MESTHA
    • H04N1/60
    • H04N1/52H04N1/603
    • What is disclosed is a method for profile LUT construction which uses a cost function to provide improvements to one or more image quality attributes present in printed images while imposing constraints in terms of color accuracy and spectral response to achieve a color match under various illuminants. Image quality attributes are selected. A reference profile is selected. For each node, candidate recipes are found which reproduce L*a*b* colors within a threshold em. Recipes are pruned to a subset containing recipes where a spectral difference between a predicted spectra corresponding to N color levels and a reference reflectance spectra corresponding to a spectra of a recipe produced by the reference profile, is less than a threshold. A cost function is computed and a recipe identified which minimizes the cost for this node. The process repeats for all nodes to produce a new profile LUT.
    • 所公开的是用于轮廓LUT构造的方法,其使用成本函数来提供对印刷图像中存在的一个或多个图像质量属性的改进,同时在颜色精度和光谱响应方面施加约束以实现各种光源下的颜色匹配。 选择图像质量属性。 选择参考资料。 对于每个节点,找到在阈值em内再现L * a * b *颜色的候选配方。 将食谱修剪成包括配方的子集,其中对应于N个颜色级别的预测光谱与对应于由参考轮廓产生的配方的光谱的参考反射光谱之间的光谱差小于阈值。 计算成本函数,并确定最小化此节点成本的配方。 该过程重复所有节点以产生新的配置文件LUT。