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    Moving object super-resolution systems and methods
    1.
    发明授权
    Moving object super-resolution systems and methods 有权
    移动物体超分辨率系统和方法

    公开(公告)号：US08995793B1

    公开(公告)日：2015-03-31

    申请号：US12901459

    申请日：2010-10-08

    申请人： John Brandon Laflen ,  Glen William Brooksby ,  Christopher Greco

    发明人： John Brandon Laflen ,  Glen William Brooksby ,  Christopher Greco

    IPC分类号： G06K9/32 ,  G06T7/40

    CPC分类号： G06T7/40 ,  G06T3/4053 ,  G06T7/337 ,  G06T2207/10016 ,  G06T2207/20056

    摘要： In some approaches, super-resolution of static and moving objects can be performed. Results of moving object super-resolution may be improved by means of performing image co-registration. The quality of images of moving objects in an automated form may be improved. A sequence of images may be processed wherein objects can be detected and tracked in succeeding frames. A small region around a tracked object may be extracted in each frame. These regions may be co-registered to each other using frequency domain techniques. A set of co-registered images may be used to perform super-resolution of the tracked object. Also described are image processing systems and articles of manufacture having a machine readable storage medium and executable program instructions.

    摘要翻译： 在某些方法中，可以执行静态和移动物体的超分辨率。 可以通过执行图像共同注册来提高移动物体超分辨率的结果。 以自动化形式移动物体的图像质量可能得到改善。 可以处理图像序列，其中可以在后续帧中检测和跟踪对象。 可以在每个帧中提取跟踪对象周围的小区域。 这些区域可以使用频域技术彼此共同对齐。 可以使用一组共同注册的图像来执行跟踪对象的超分辨率。 还描述了具有机器可读存储介质和可执行程序指令的图像处理系统和制品。

    Detection of faint perturbations of interest using statistical models of image texture
    2.
    发明授权
    Detection of faint perturbations of interest using statistical models of image texture 有权
    使用图像纹理的统计模型检测感兴趣的微弱扰动

    公开(公告)号：US08483433B1

    公开(公告)日：2013-07-09

    申请号：US12885348

    申请日：2010-09-17

    申请人： John Brandon Laflen ,  Glen William Brooksby ,  Robert A. Kaucic

    发明人： John Brandon Laflen ,  Glen William Brooksby ,  Robert A. Kaucic

    IPC分类号： G06K9/00

    CPC分类号： G06K9/34 ,  G06T7/0002

    摘要： A system for detecting faint perturbations of interest in an image is described. The system includes a memory comprising the image, and a processor. The processor is configured to estimate a local mean and variance for each of a plurality of pixels in the image, analyze a local region of the image, an image mean, and an image variance using a filter bank, thereby generating a plurality of response vectors, determine a likelihood of a local perturbation in the image using a probability distribution based on the plurality of response vectors, and make a classification decision of the local perturbation. The probability distribution is calculated, for each of the plurality of response vectors, based on a response of each of the plurality of response vectors to the estimated local mean and variance for each of the plurality of pixels. Methods and machine-readable media are also described.

    摘要翻译： 描述了一种用于检测图像中感兴趣的微弱扰动的系统。 该系统包括包括图像的存储器和处理器。 处理器被配置为估计图像中的多个像素中的每一个的局部均值和方差，使用滤波器组来分析图像的局部区域，图像均值和图像方差，从而生成多个响应向量 使用基于多个响应向量的概率分布来确定图像中局部扰动的可能性，并进行局部扰动的分类决定。 对于多个响应向量中的每一个，基于多个响应向量中的每一个对每个多个像素的估计局部均值和方差的响应来计算概率分布。 还描述了方法和机器可读介质。