摘要:
A method for determining a response to misalignment of a camera monitoring a desired area includes acquiring temporal related frames from the camera including a reference frame. A pixel location is determined of a reference object from the frames. Using the pixel location of the reference object, a displacement of the camera between a current frame and the reference frame is determined. For the displacement exceeding a first threshold, a new displacement of the camera is measured by introducing at least one additional object to a camera field of view and comparing the new displacement to a second threshold. For the new displacement not exceeding the second threshold, the camera is recalibrated using a determined pixel location and a physical location of the at least one additional object. For the new displacement exceeding the second threshold, notification is provided of a misalignment to an associated user device.
摘要:
What is disclosed is a novel system and method for determining and capturing the designer intended colors in an image so that the printer has an accurate color rendition target. The present method operates by capturing the monitor RGB values together with the monitor profile to get a representation of the intended image in a device-independent color space like L*a*b*. The teachings hereof work for vector graphics as well as raster images. Advantageously, this invention solves a real problem currently existing, for example, in the packaging print market, wherein colors produced from multiple spot colors with their overlays and blends are not well color managed.
摘要翻译:公开的是用于确定和捕获图像中的设计者预期颜色的新型系统和方法,使得打印机具有准确的色彩再现目标。 本方法通过将监视器RGB值与监视器配置文件一起捕获来操作,以在与设备无关的颜色空间(如L * a * b *)中获得所需图像的表示。 这里的教学工作用于矢量图形以及光栅图像。 有利地,本发明解决了例如在包装印刷市场中存在的真实问题,其中由具有它们的覆盖物和共混物的多种专色产生的颜色不是很好的颜色管理。
摘要:
A computer-implemented method for color calibration and profiling of an output device includes measuring a color patch in a test pattern, which comprises a plurality of color patches, to obtain first image data; measuring the color patch in the test pattern to obtain second image data; transforming the first image data to a first estimated image data; determining a difference between the second image data and the first estimated image data to obtain a correction factor; and calculating, for each patch in the test pattern, a corrected image data by applying the correction factor to a subsequent estimated image data from the first sensor. The correction factor is used for correcting inaccuracies introduced when the first image data is transformed into the first estimated image data. The first image data and the second image data provide a measured color representation of the color patch in a device dependent color space and a device independent color space, respectively.
摘要:
A sensor used for determining area coverages of each colorant in a printed image is provided. The sensor includes a plurality of sensing elements for determining area coverages of each colorant in a printed image that includes a plurality of colorants including a black colorant. One of the sensing elements is an infrared sensing element configured to measure infrared reflection, and the others of the sensing elements are each configured to detect a visible color.
摘要:
What is disclosed is a novel system and method for determining printer performance in terms of image quality defects over a large complex set of conditions based on measurements taken over a small simple set of conditions, thus reducing the amount of time, effort, and wasted paper required to obtain the data. The present system and method effectively utilizes a predictive model that predicts noise measurements of multi-separations from those of single-separation colors and/or a subset of the multi-separations. Because a model is used to comprehend color performance over the entire gamut, the number of patches is reduced. This reduction enables the method to be used within a machine to dynamically characterize the device's image quality performance. Various embodiments have been disclosed.
摘要:
A de-warp map is generated by applying principal component analysis (PCA) to vectors describing aspects of identified features of an object in an image. PCA provides vectors and coefficients describing curvature or image warping at selected points in the image. Estimates of the warping of the image generally are generated by interpolation and/or extrapolation from the vectors and coefficients provided by PCA. In some applications only two features need be identified. For example, the complicated curvature of the facing pages of an open book can be characterized by two vectors describing positions of top and bottom edges of the book. In such applications PCA can reduce to vector subtraction to determine a basis vector, vector addition and scaling to determine an average vector and simple assignment of known coefficient values. The de-warping map can be used to generate a de-warped version of the image.
摘要:
Colorant recipes for spot colors, or colors associated with vector graphic objects, are transformed to compensate for spatial variation in a rendering device. Inverted Jacobians of color production performance can be used to transform color deviations into colorant recipe changes. The colorant recipe changes are applied to original colorant recipes to provide the transformed colorant recipes. Jacobians can be determined by exercising a system model according to perturbations of the colorant recipes. Alternatively, test patches or strips based on perturbed original colorant recipes can be rendered and measured and the Jacobians can be based on such measurements. Alternatively, spatially dependent tone reproduction curves can be used to transform the colorant recipes associated with the vector graphic objects. Image processing systems can include a spatial variation information determiner, a spatial compensation information determiner and a colorant recipe transformer.
摘要:
A de-warp map is generated by applying principal component analysis (PCA) to vectors describing aspects of identified features of an object in an image. PCA provides vectors and coefficients describing curvature or image warping at selected points in the image. Estimates of the warping of the image generally are generated by interpolation and/or extrapolation from the vectors and coefficients provided by PCA. In some applications only two features need be identified. For example, the complicated curvature of the facing pages of an open book can be characterized by two vectors describing positions of top and bottom edges of the book. In such applications PCA can reduce to vector subtraction to determine a basis vector, vector addition and scaling to determine an average vector and simple assignment of known coefficient values. The de-warping map can be used to generate a de-warped version of the image.
摘要:
Spatially dependent colorant interaction effects are identified and isolated from other aspects of spatially dependent colorant appearance nonuniformities. A decorrelating function for compensating for the identified spatially dependent colorant interaction effects is determined. Spatially dependent single colorant compensating functions for compensating for the other aspects of the spatially dependent colorant appearance nonuniformities may also be determined. Image data is processed through the decorrelating function, thereby generating colorant values that are compensated for spatially dependent colorant interaction effects. Optionally, image data is also processed through the spatially dependent single colorant compensating functions, thereby generating colorant values that are compensated for both aspects of colorant appearance nonuniformities. The two kinds of compensating functions may be determined, calibrated and/or stored at different spatial and temporal frequencies or resolutions. One or both of the compensating functions may be employed to maintain consistency across a plurality of rendering devices (e.g., marking engines).
摘要:
A method for determining a response to misalignment of a camera monitoring a desired area includes acquiring temporal related frames from the camera including a reference frame. A pixel location is determined of a reference object from the frames. Using the pixel location of the reference object, a displacement of the camera between a current frame and the reference frame is determined. For the displacement exceeding a first threshold, a new displacement of the camera is measured by introducing at least one additional object to a camera field of view and comparing the new displacement to a second threshold. For the new displacement not exceeding the second threshold, the camera is recalibrated using a determined pixel location and a physical location of the at least one additional object. For the new displacement exceeding the second threshold, notification is provided of a misalignment to an associated user device.