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    • 1. 发明授权
    • Image superresolution through edge extraction and contrast enhancement
    • 图像超分辨率通过边缘提取和对比度增强
    • US07613363B2
    • 2009-11-03
    • US11165525
    • 2005-06-23
    • John PlattHugues HoppeErin RenshawAdrian Corduneanu
    • John PlattHugues HoppeErin RenshawAdrian Corduneanu
    • G06K9/32
    • G06T3/4053G06T5/002G06T5/008G06T5/20G06T7/13G06T7/194G06T2207/10016G06T2207/20192
    • A technique for generating high-resolution bitmaps from low-resolution bitmaps. A low-resolution bitmap is magnified to form a magnified image. Edge detection is performed on the magnified image to find high contrast edges. A plurality of image patches of the magnified image are generated. These images patches are analyzed by performing connected components analysis on each of them using the high contrast edges to produce a plurality of foreground and background decisions determining whether a portion of an image patch is a background or a foreground region. Then the contrast of one or more pixels in each of the plurality of image patches is enhanced based on the foreground and background decisions. Finally, the system and method of the invention combines the luminance of the enhanced output pixels with the color values generated by the magnification algorithm. This produces a high-resolution bitmap from the contrast-enhanced pixels.
    • 从低分辨率位图生成高分辨率位图的技术。 低分辨率位图被放大以形成放大图像。 在放大图像上执行边缘检测,以找到高对比度边缘。 生成放大图像的多个图像块。 通过使用高对比度边缘对它们中的每一个执行连接的分量分析来分析这些图像块,以产生确定图像块的一部分是背景还是前景区域的多个前景和背景决定。 然后,基于前景和背景决定增强多个图像块中的每一个中的一个或多个像素的对比度。 最后,本发明的系统和方法将增强输出像素的亮度与由放大算法产生的颜色值相结合。 这产生了来自对比度增强像素的高分辨率位图。
    • 6. 发明授权
    • Reconstruction of sparse data
    • 重建稀疏数据
    • US08737769B2
    • 2014-05-27
    • US12954843
    • 2010-11-26
    • Mark FinchJohn SnyderHugues HoppeYonatan Wexler
    • Mark FinchJohn SnyderHugues HoppeYonatan Wexler
    • G06K9/32G06K9/40
    • G06T17/00G06T7/50
    • A dense guide image or signal is used to inform the reconstruction of a target image from a sparse set of target points. The guide image and the set of target points are assumed to be derived from a same real world subject or scene. Potential discontinuities (e.g., tears, edges, gaps, etc.) are first detected in the guide image. The potential discontinuities may be borders of Voronoi regions, perhaps computed using a distance in data space (e.g., color space). The discontinuities and sparse set of points are used to reconstruct the target image. Specifically, pixels of the target image may be interpolated smoothly between neighboring target points, but where neighboring target points are separated by a discontinuity, the interpolation may jump abruptly (e.g., by adjusting or influencing relaxation) at the discontinuity. The target points may be used to select only a subset of the discontinuities to be used during reconstruction.
    • 使用密集的引导图像或信号来通知来自稀疏目标点集合的目标图像的重建。 引导图像和目标点集合被假定为从相同的现实主题或场景导出。 在引导图像中首先检测到潜在的不连续性(例如,泪液,边缘,间隙等)。 潜在的不连续性可以是Voronoi区域的边界,可以使用数据空间中的距离(例如,颜色空间)来计算。 不连续点和稀疏集合点用于重建目标图像。 具体地说,目标图像的像素可以在相邻目标点之间平滑地内插,但是当相邻目标点被不连续分开时,插值可能突然地跳跃(例如,通过调节或影响松弛)而跳跃。 目标点可以用于仅在重建期间仅选择要使用的不连续的子集。
    • 9. 发明申请
    • Terrain rendering using nested regular grids
    • 使用嵌套常规网格的地形渲染
    • US20050253843A1
    • 2005-11-17
    • US10846897
    • 2004-05-14
    • Frank Losasso PettersonHugues Hoppe
    • Frank Losasso PettersonHugues Hoppe
    • G09B29/00G06T15/10G06T17/00
    • G06T15/10G06T17/05G06T2210/36
    • Plural levels of detail of a terrain are stored in memory in regular grids. In one such example, a terrain is cached in a set of nested regular grids obtained from the plural levels as a function of distance from a viewpoint. In one such example, the plural levels of detail of terrain comprise terrain elevation and texture images. If the viewpoint moves relative to the terrain, the nested regular grids are incrementally refilled relative to the viewpoints movement in the terrain. In one such example, a transition region is introduced to help blend between grid levels. The regular grids are stored as vertex buffers in video memory in one example. In one such example, a vertex data includes an elevation values from another grid level for efficient grid level boundary blending.
    • 地形的多个细节级别存储在内存中的常规网格中。 在一个这样的示例中,地形被缓存在从多个级别获得的一组嵌套规则网格中,作为与视点的距离的函数。 在一个这样的示例中,地形的多个细节级包括地形高程和纹理图像。 如果视点相对于地形移动,相对于地形中的视点移动,嵌套的常规网格将被逐步重新填充。 在一个这样的示例中,引入过渡区域以帮助在网格级之间进行混合。 在一个示例中,常规网格作为顶点缓冲存储在视频存储器中。 在一个这样的示例中,顶点数据包括来自另一个网格级的高程值,用于高效的网格级边界混合。