Abstract:
A method for automated image quality based diagnosis of a document printing system is disclosed. The method comprises receiving image data to be printed on a document; printing an image on the document based on the image data; scanning the printed image on the document with a sensor; analyzing the scanned printed image with an image quality analysis module to identify one or more defects in the printed image; automatically generating test pattern image data based on the one or more identified defects; and printing and analyzing a test pattern image based on the test pattern image data.
Abstract:
Systems and methods for implementing use of customer documents in maintaining image quality or image quality consistency of printing devices are provided. The system may include a marking engine constructed to print images on an image bearing surface of the print device; one or more color measuring devices for measured toner images formed on the image bearing surface corresponding to the one or more relevant pages, and an image analyzer configured to generate reference images and to compare measured image data with the reference images. The image analyzer may also be configured to analyze input image data for a document and to identify one or more relevant pages of the document that may provide information regarding the state of the printing system to generated reference image data. Comparisons between the color separations of the reference image data and measured image data images may be realized for determining defects.
Abstract:
A system for activating automated image quality diagnostic systems via a direct communication from the image-based control system is disclosed. The system includes a printing engine configured to intake electronic image input and to output tangible image output based on the electronic image input, an image-based measurement system configured to make measurements of image parameters associated with the tangible image output, and an automated compensation system configured to store nominal value parametric measurements for one or more image parameters measured by the image-based measurement system and to compare the nominal value measurements to related one or more parameters measured to determine anomalies in the output tangible image system.
Abstract:
A system for activating automated image quality diagnostic systems via a direct communication from the image-based control system is disclosed. The system includes a printing engine configured to intake electronic image input and to output tangible image output based on the electronic image input, an image-based measurement system configured to make measurements of image parameters associated with the tangible image output, and an automated compensation system configured to store nominal value parametric measurements for one or more image parameters measured by the image-based measurement system and to compare the nominal value measurements to related one or more parameters measured to determine anomalies in the output tangible image system.
Abstract:
A method and system for real-time video triggering for traffic surveillance and photo enforcement comprises receiving a streaming video feed and performing a spatial uniformity correction on each frame of the streaming video feed and resampling the video feed to a lower spatial resolution. Motion blobs are then detected. Next a three-layered approach is used to identify candidate motion blobs which can be output to a triggering module to trigger a video collection action.
Abstract:
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.
Abstract:
What is disclosed is a system and method for identifying materials comprising an object captured in a video and for using the identified materials to track that object as it moves across the captured video scene. In one embodiment, a multi-spectral or hyper-spectral sensor is used to capture a spectral image of an object in an area of interest. Pixels in the spectral planes of the spectral images are analyzed to identify a material comprising objects in that area of interest. A location of each of the identified objects is provided to an imaging sensor which then proceeds to track the objects as they move through a scene. Various embodiments are disclosed.
Abstract:
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.
Abstract translation: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。
Abstract:
A method of, and system for, selective video frame compression and decompression is presented. The disclosed technique is particularly suited for efficient event-driven searching in large databases. The technique involves designating certain frames in a video sequence as reference frames, to be compressed using a first compression technique, where the remaining frames are compressed using a second compression technique. The first compression technique may be implemented without requiring data from any neighboring frames.
Abstract:
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.