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    • 2. 发明申请
    • Region-based image denoising
    • 基于区域的图像去噪
    • US20070177817A1
    • 2007-08-02
    • US11340969
    • 2006-01-27
    • Richard SzeliskiSing KangCe LiuCharles Zitnick
    • Richard SzeliskiSing KangCe LiuCharles Zitnick
    • G06K9/00
    • G06T5/003G06T5/002G06T2207/20076
    • 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.
    • “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”),同时保持图像中的原始模糊 各地区。
    • 3. 发明申请
    • Bayesian demosaicing using a two-color image
    • 贝叶斯组合使用双色图像
    • US20070177033A1
    • 2007-08-02
    • US11343581
    • 2006-01-30
    • Eric BennettMatthew UyttendaeleCharles ZitnickSing KangRichard Szeliski
    • Eric BennettMatthew UyttendaeleCharles ZitnickSing KangRichard Szeliski
    • H04N9/73
    • H04N9/646H04N1/58H04N9/045
    • 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.
    • 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。
    • 4. 发明授权
    • System and process for generating a two-layer, 3D representation of a scene
    • 用于生成场景的两层3D表示的系统和过程
    • US07206000B2
    • 2007-04-17
    • US11334591
    • 2006-01-17
    • Charles Zitnick, IIIRichard SzeliskiSing Bing KangMatthew UyttendaeleSimon Winder
    • Charles Zitnick, IIIRichard SzeliskiSing Bing KangMatthew UyttendaeleSimon Winder
    • G09G5/02
    • G06T15/205
    • A system and process for generating a two-layer, 3D representation of a digital or digitized image from the image and a pixel disparity map of the image is presented. The two layer representation includes a main layer having pixels exhibiting background colors and background disparities associated with correspondingly located pixels of depth discontinuity areas in the image, as well as pixels exhibiting colors and disparities associated with correspondingly located pixels of the image not found in these depth discontinuity areas. The other layer is a boundary layer made up of pixels exhibiting foreground colors, foreground disparities and alpha values associated with the correspondingly located pixels of the depth discontinuity areas. The depth discontinuity areas correspond to prescribed sized areas surrounding depth discontinuities found in the image using a disparity map thereof.
    • 提出了一种用于从图像生成数字或数字化图像的二层3D表示和图像的像素视差图的系统和过程。 两层表示包括具有显示背景颜色的像素和与图像中的深度不连续区域的相应定位的像素相关联的背景差异的主层以及与在这些深度中未找到的图像的相应定位的像素相关联的颜色和差异的像素 不连续区域。 另一层是由与前述深度不连续区域的对应位置的像素相关联的前景色,前景差异和α值的像素构成的边界层。 深度不连续区域对应于使用其视差图在图像中发现的围绕深度不连续性的规定尺寸的区域。
    • 10. 发明授权
    • Simultaneous optical flow estimation and image segmentation
    • 同时光流估计和图像分割
    • US07522749B2
    • 2009-04-21
    • US11193273
    • 2005-07-30
    • Charles Zitnick, IIISing Bing KangNebojsa Jojic
    • Charles Zitnick, IIISing Bing KangNebojsa Jojic
    • G06K9/00
    • G06K9/34G06K9/38G06K9/4652G06K9/6219
    • A technique for estimating the optical flow between images of a scene and a segmentation of the images is presented. This involves first establishing an initial segmentation of the images and an initial optical flow estimate for each segment of each images and its neighboring image or images. A refined optical flow estimate is computed for each segment of each image from the initial segmentation of that image and the initial optical flow of the segments of that image. Next, the segmentation of each image is refined from the last-computed optical flow estimates for each segment of the image. This process can continue in an iterative manner by further refining the optical flow estimates for the images using their respective last-computed segmentation, followed by further refining the segmentation of each image using their respective last-computed optical flow estimates, until a prescribed number of iterations have been completed.
    • 提出了一种用于估计场景图像和图像分割之间的光流的技术。 这包括首先建立图像的初始分割和每个图像及其相邻图像或图像的每个片段的初始光学流量估计。 从该图像的初始分割和该图像的片段的初始光流中计算每个图像的每个片段的精细光学流量估计。 接下来,从图像的每个片段的最后计算的光学流量估计来细化每个图像的分割。 该过程可以通过使用其各自的最后计算的分割进一步细化图像的光流估计,然后使用其各自的最后计算的光流估计进一步细化每个图像的分割,直到规定数量的 迭代已经完成。