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公开(公告)号：US07587099B2
公开(公告)日：2009-09-08
申请号：US11340969
申请日：2006-01-27
CPC分类号： G06T5/003 , G06T5/002 , G06T2207/20076
摘要： An “Image Denoiser” provides a probabilistic process for denoising color images by segmenting an input image into regions, estimating statistics within each region, and then estimating a clean (or denoised) image using a probabilistic model of image formation. In one embodiment, estimated blur between each region is used to reduce artificial sharpening of region boundaries resulting from denoising the input image. In further embodiments, the estimated blur is used for additional purposes, including sharpening edges between one or more regions, and selectively blurring or sharpening one or more specific regions of the image (i.e., “selective focus”) while maintaining the original blurring between the various regions.
摘要翻译： “图像去噪器”提供了通过将输入图像分割成区域来去除彩色图像的概率过程，估计每个区域内的统计量，然后使用图像形成的概率模型来估计干净（或去噪）图像。 在一个实施例中，使用每个区域之间的估计模糊来减少由于对输入图像的去噪而导致的区域边界的人造锐化。 在另外的实施例中，估计的模糊被用于额外的目的，包括在一个或多个区域之间锐化边缘，以及选择性地模糊或锐化图像的一个或多个特定区域（即，“选择性聚焦”），同时保持原始模糊 各地区。
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公开(公告)号：US20110109755A1
公开(公告)日：2011-05-12
申请号：US12616782
申请日：2009-11-12
CPC分类号： H04N5/23248 , H04N5/23258 , H04N5/23267
摘要： The described implementations relate to deblurring images. One system includes an imaging device configured to capture an image, a linear motion detector and a rotational motion detector. This system also includes a controller configured to receive a signal from the imaging device relating to capture of the image and to responsively cause the linear motion detector and the rotational motion detector to detect motion-related information. Finally, this particular system includes a motion calculator configured to recover camera motion associated with the image based upon the detected motion-related information and to infer imaging device motion induced blur of the image and an image deblurring component configured to reduce imaging device induced blur from the image utilizing the inferred camera motion induced blur.
摘要翻译： 所描述的实现涉及去模糊图像。 一个系统包括被配置为捕获图像的成像装置，线性运动检测器和旋转运动检测器。 该系统还包括控制器，其被配置为从成像装置接收与捕获图像有关的信号，并且响应地使线性运动检测器和旋转运动检测器检测运动相关信息。 最后，该特定系统包括运动计算器，该运动计算器被配置为基于检测到的运动相关信息来恢复与图像相关联的摄像机运动，并且推断图像的成像装置运动引起的模糊，以及被配置成减少成像装置引起的模糊的图像去模糊部件 该图像利用推测的相机运动引起的模糊。
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公开(公告)号：US07706609B2
公开(公告)日：2010-04-27
申请号：US11343581
申请日：2006-01-30
申请人： Eric P. Bennett , Matthew T. Uyttendaele , Charles L. Zitnick , Sing Bing Kang , Richard S. Szeliski
发明人： Eric P. Bennett , Matthew T. Uyttendaele , Charles L. Zitnick , Sing Bing Kang , Richard S. Szeliski
摘要： A Bayesian two-color image demosaicer and method for processing a digital color image to demosaic the image in such a way as to reduce image artifacts. The method and system are an improvement on and an enhancement to previous demosaicing techniques. A preliminary demosaicing pass is performed on the image to assign each pixel a fully specified RGB triple color value. The final color value of pixel in the processed image is restricted to be a linear combination of two colors. Fully-specified RGB triple color values for each pixel in an image used to find two clusters represented favored two colors. The amount of contribution from these favored two colors on the final color value then is determined. The method and system also can process multiple images to improve the demosaicing results. When using multiple images, sampling can be performed at a finer resolution, known as super resolution.
摘要翻译： 一种贝叶斯双色图像拆分器和用于处理数字彩色图像以使图像去马赛克的方法，以减少图像伪像。 该方法和系统是对以前的去马赛克技术的改进和增强。 对图像执行初步去马赛克通行，为每个像素分配完全指定的RGB三色值。 处理图像中的像素的最终色值被限制为两种颜色的线性组合。 用于查找两个聚类的图像中每个像素的完全指定的RGB三色值代表有利于两种颜色。 然后确定这些有利的两种颜色对最终颜色值的贡献量。 该方法和系统还可以处理多个图像以改善去马赛克结果。 当使用多个图像时，可以以更精细的分辨率（称为超分辨率）进行采样。
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公开(公告)号：US08264553B2
公开(公告)日：2012-09-11
申请号：US12616782
申请日：2009-11-12
CPC分类号： H04N5/23248 , H04N5/23258 , H04N5/23267
摘要： The described implementations relate to deblurring images. One system includes an imaging device configured to capture an image, a linear motion detector and a rotational motion detector. This system also includes a controller configured to receive a signal from the imaging device relating to capture of the image and to responsively cause the linear motion detector and the rotational motion detector to detect motion-related information. Finally, this particular system includes a motion calculator configured to recover camera motion associated with the image based upon the detected motion-related information and to infer imaging device motion induced blur of the image and an image deblurring component configured to reduce imaging device induced blur from the image utilizing the inferred camera motion induced blur.
摘要翻译： 所描述的实现涉及去模糊图像。 一个系统包括被配置为捕获图像的成像装置，线性运动检测器和旋转运动检测器。 该系统还包括控制器，其被配置为从成像装置接收与捕获图像有关的信号，并且响应地使线性运动检测器和旋转运动检测器检测运动相关信息。 最后，该特定系统包括运动计算器，该运动计算器被配置为基于检测到的运动相关信息来恢复与图像相关联的摄像机运动，并且推断图像的成像装置运动引起的模糊，以及被配置成减少成像装置引起的模糊的图像去模糊部件 该图像利用推测的相机运动引起的模糊。
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公开(公告)号：US07006709B2
公开(公告)日：2006-02-28
申请号：US10172859
申请日：2002-06-15
IPC分类号： G06K9/32
CPC分类号： G06T5/20 , G06K9/32 , G06K2009/2045 , G06T3/00 , G06T5/003 , G06T7/30 , G06T7/55 , G06T15/503
摘要： A system and method for deghosting mosaics provides a novel multiperspective plane sweep approach for generating an image mosaic from a sequence of still images, video images, scanned photographic images, computer generated images, etc. This multiperspective plane sweep approach uses virtual camera positions to compute depth maps for columns of overlapping pixels in adjacent images. Object distortions and ghosting caused by image parallax when generating the image mosaics are then minimized by blending pixel colors, or grey values, for each computed depth to create a common composite area for each of the overlapping images. Further, the multiperspective plane sweep approach described herein is both computationally efficient, and applicable to both the case of limited overlap between the images used for creating the image mosaics, and to the case of extensive or increased image overlap.
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公开(公告)号：US07412427B2
公开(公告)日：2008-08-12
申请号：US11342218
申请日：2006-01-27
CPC分类号： G06K9/6211
摘要： A feature symbol triplets object instance recognizer and method for recognizing specific objects in a query image. Generally, the recognizer and method find repeatable features in the image, and match the repeatable features between a query image and a set of training images. More specifically, the recognizer and method finds features in the query image and then groups all possible combinations of three features in to feature triplets. Small regions or “patches” in the query image, and an affine transformation is applied to the patches to identify any similarity between patches in a query image and training images. The affine transformation is computed using position of neighboring features in each feature triplet. Next, all similar patches are found, and then pairs of images are aligned to determine if the patches agree in the position of the object. If they do, then it is said that object is found and identified.
摘要翻译： 特征符号三元组对象实例识别器和方法，用于识别查询图像中的特定对象。 通常，识别器和方法在图像中找到可重复的特征，并且匹配查询图像和一组训练图像之间的可重复特征。 更具体地，识别器和方法在查询图像中发现特征，然后将三个特征的所有可能组合分组到特征三元组。 查询图像中的小区域或“补丁”，并且仿射变换被应用于补丁以识别查询图像中的修补程序和训练图像之间的任何相似性。 使用每个特征三元组中相邻特征的位置来计算仿射变换。 接下来，找到所有相似的补丁，然后对对成对的图像以确定补丁是否在对象的位置一致。 如果他们这样做，那么就说发现和识别对象。
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公开(公告)号：US09122368B2
公开(公告)日：2015-09-01
申请号：US12722280
申请日：2010-03-11
IPC分类号： G06F17/00 , G06F3/0481 , G06F17/30 , G06T19/00
CPC分类号： G06F3/04815 , G06F17/30274 , G06T19/003
摘要： Images are analyzed within a 3D environment that is generated based on spatial relationships of the images and that allows users to experience the images in the 3D environment. Image analysis may include ranking images based on user viewing information, such as the number of users who have viewed an image and how long an image was viewed. Image analysis may further include analyzing the spatial density of images within a 3D environment to determine points of user interest.
摘要翻译： 在基于图像的空间关系生成的3D环境中分析图像，并允许用户体验3D环境中的图像。 图像分析可以包括基于用户观看信息来排序图像，诸如已经观看图像的用户的数量以及观看多长时间的图像。 图像分析还可以包括分析3D环境中的图像的空间密度以确定用户感兴趣的点。
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8.发明授权System and method for extracting reflection and transparency layers from multiple images 有权从多个图像中提取反射和透明层的系统和方法公开(公告)号：US07590265B2
公开(公告)日：2009-09-15
申请号：US11242204
申请日：2005-10-01
IPC分类号： G06K9/00
摘要： The present invention is embodied in a system and method for extracting structure from multiple images of a scene by representing the scene as a group of image layers, including reflection and transparency layers. In general, the present invention performs layer extraction from multiple images containing reflections and transparencies. The present invention includes an optimal approach for recovering layer images and their associated motions from an arbitrary number of composite images. The present invention includes image formation equations, the constrained least squares technique used to recover the component images, a novel method to estimate upper and lower bounds on the solution using min- and max-composites, and a motion refinement method.
摘要翻译： 本发明体现在一种用于通过将场景表示为包括反射和透明层的图像层的组来从场景的多个图像提取结构的系统和方法。 通常，本发明从包含反射和透明度的多个图像中执行层提取。 本发明包括从任意数量的合成图像中恢复层图像及其相关运动的最佳方法。 本发明包括图像形成方程，用于恢复分量图像的约束最小二乘法技术，使用最小和最大复合材料估计解的上限和下限的新方法，以及运动细化方法。
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公开(公告)号：US06788333B1
公开(公告)日：2004-09-07
申请号：US09611646
申请日：2000-07-07
IPC分类号： H04N700
CPC分类号： H04N5/23238 , G03B37/04 , G06T7/30 , G06T7/80 , G06T2200/32 , H04N17/002
摘要： A system and process for generating a panoramic video. Essentially, the panoramic video is created by first acquiring multiple videos of the scene being depicted. Preferably, these videos collectively depict a full 360 degree view of the surrounding scene and are captured using a multiple camera rig. The acquisition phase also includes a calibration procedure that provides information about the camera rig used to capture the videos that is used in the next phase for creating the panoramic video. This next phase, which is referred to as the authoring phase, involves mosaicing or stitching individual frames of the videos, which were captured at approximately the same moment in time, to form each frame of the panoramic video. A series of texture maps are then constructed for each frame of the panoramic video. Each texture map coincides with a portion of a prescribed environment model of the scene. The texture map representations of each frame of the panoramic video are encoded so as to facilitate their transfer and viewing. This can include compressing the panoramic video frames. Such a procedure is useful in applications where the panoramic video is to be transferred over a network, such as the Internet.
摘要翻译： 用于生成全景视频的系统和过程。 本质上，通过首先获取所描绘的场景的多个视频来创建全景视频。 优选地，这些视频共同地描绘了周围场景的完整360度视图，并且使用多个相机钻机来捕获。 采集阶段还包括一个校准程序，该程序提供有关用于捕获下一阶段中用于创建全景视频的视频的摄像机的信息。 这个下一个阶段（被称为创作阶段）涉及拼接或缝合在大约相同的时刻被捕获的视频的各个帧，以形成全景视频的每个帧。 然后为全景视频的每个帧构建一系列纹理贴图。 每个纹理贴图与场景的规定环境模型的一部分重合。 对全景视频的每个帧的纹理映射表示进行编码，以便于它们的传送和观看。 这可以包括压缩全景视频帧。 这样的程序在通过诸如因特网的网络传输全景视频的应用中是有用的。
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10.发明授权System and process for improving the uniformity of the exposure and tone of a digital image 失效用于改善数字图像曝光和色调均匀性的系统和过程公开(公告)号：US06687400B1
公开(公告)日：2004-02-03
申请号：US09334860
申请日：1999-06-16
申请人： Richard S. Szeliski
发明人： Richard S. Szeliski
IPC分类号： G06K900
CPC分类号： H04N5/235
摘要： A system and method for manipulating a set of images of a static scene captured at different exposures (i.e., “bracketed” images) to yield a composite image with improved uniformity in exposure and tone. In general, the aforementioned goal can be achieved by analyzing a set of bracketed images using a multi-dimensional histogram and merging the images via an approach that projects pixels onto a curve that fits the data. However, it has been found that the desired composite image can be produced in a simpler manner by summing the pixel brightness levels across the multiple images, followed by an equalization process. One possible equalization process involves simply averaging the summed pixel brightness values by dividing the summed value of each pixel set (i.e., groups of corresponding pixels from the bracketed images) by the number of bracketed images. An even better result can be achieved using a histogram equalization process. In essence, this histogram equalization involves creating a count of the number of pixels sets having the same summed brightness level. From this count, a cumulative distribution function is computed and normalized to a maximum value corresponding to the maximum summed brightness level. The cumulative distribution function is then used to determine new pixel brightness levels for use in generating the composite image.
摘要翻译： 一种用于操纵在不同曝光（即，“括号”的图像）处拍摄的静态场景的一组图像以产生具有改善的曝光和色调均匀性的合成图像的系统和方法。 通常，可以通过使用多维直方图分析一组括号图像并通过将像素投影到适合数据的曲线上的方法来合并图像来实现上述目标。 然而，已经发现，可以通过对多个图像之间的像素亮度等级进行求和，然后进行均衡处理，以更简单的方式产生期望的合成图像。 一个可能的均衡处理涉及通过将每个像素组（即，来自括号的图像的相应像素的组）的相加值除以包围的图像的数量来简单地对相加的像素亮度值进行平均。 使用直方图均衡过程可以获得更好的结果。 实质上，该直方图均衡涉及产生具有相同的相加亮度水平的像素集合的数量的计数。 从该计数，计算累积分布函数并将其归一化为对应于最大相加亮度水平的最大值。 然后累积分布函数用于确定用于生成合成图像的新像素亮度级别。
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