Generic image hallucination
    41.
    发明申请
    Generic image hallucination 有权
    通用图像幻象

    公开(公告)号:US20050220355A1

    公开(公告)日:2005-10-06

    申请号:US10817471

    申请日:2004-04-01

    IPC分类号: G06K9/40 G06T5/50

    CPC分类号: G06T3/4007

    摘要: Techniques are disclosed to enable generation of a high-resolution image from any generic low-resolution image. In one described implementation, a method includes extracting, at a training phase, a plurality of primal sketch priors from training data. At a synthesis phase, the plurality of primal sketch priors are utilized to improve a low-resolution image by replacing one or more low-frequency primitives extracted from the low-resolution image with corresponding ones of the plurality of primal sketch priors.

    摘要翻译: 公开了技术以使得能够从任何通用的低分辨率图像生成高分辨率图像。 在一个描述的实现中,一种方法包括在训练阶段从训练数据中提取多个原始草图先验。 在合成阶段,利用多个原始草图优先级,通过将从低分辨率图像提取的一个或多个低频原语替换为多个原始素描先验中的相应图像,来利用低分辨率图像来改善低分辨率图像。

    Removing blur from an image
    42.
    发明授权
    Removing blur from an image 有权
    从图像中删除模糊

    公开(公告)号:US08406564B2

    公开(公告)日:2013-03-26

    申请号:US12237126

    申请日:2008-09-24

    IPC分类号: G06K9/64 G06K9/40 G06K9/36

    摘要: Embodiments related to the removal of blur from an image are disclosed. One disclosed embodiment provides a method of performing an iterative non-blind deconvolution of a blurred image to form an updated image. The method comprises downsampling the blurred image to form a blurred image pyramid comprising images of two or more different resolution scales, downsampling a blur kernel to form a blur kernel pyramid comprising kernels of two or more different sizes, and deconvoluting a selected image in the blurred image pyramid according to a Richardson-Lucy deconvolution process in which a bilateral range/spatial filter is employed.

    摘要翻译: 公开了从图像中去除模糊的实施例。 一个公开的实施例提供了一种执行模糊图像的迭代非盲去卷积以形成更新图像的方法。 该方法包括对模糊图像进行下采样以形成包含两个或多个不同分辨率尺度的图像的模糊图像金字塔,对模糊核心进行下采样以形成包含两个或更多个不同大小的粒子的模糊核心金字塔,并且对模糊的所选图像进行解卷积 图像金字塔根据理查森 - 露西反卷积过程,其中采用双边范围/空间滤波器。

    ALIGNMENT OF SHARP AND BLURRED IMAGES BASED ON BLUR KERNEL SPARSENESS
    43.
    发明申请
    ALIGNMENT OF SHARP AND BLURRED IMAGES BASED ON BLUR KERNEL SPARSENESS 有权
    基于BLER KERNEL SPARSENESS的SHARP和BLEDI图像的对齐

    公开(公告)号:US20100086232A1

    公开(公告)日:2010-04-08

    申请号:US12245339

    申请日:2008-10-03

    IPC分类号: G06K9/32

    CPC分类号: G06T7/35

    摘要: The alignment of a sharp image of a subject and a blurred image of the same subject is disclosed. For example, one disclosed embodiment provides a method of determining a series of trial images. The method comprises applying a corresponding series of coordinate transforms to the sharp image, the series of coordinate transforms differing with respect to one or more of a rotational operation and a scaling operation. The method further comprises computing a series blur kernels corresponding to the series of trial images, each blur kernel mapping a trial image from the series of trial images to the blurred image. The method further includes locating a sparsest blur kernel in the series of blur kernels, and identifying one or more of the rotational operation and the scaling operation of the coordinate transform mapping the trial image corresponding to the sparsest blur kernel to the blurred image.

    摘要翻译: 公开了对象的清晰图像与相同被摄体的模糊图像的对准。 例如,一个公开的实施例提供了确定一系列试验图像的方法。 该方法包括将相应的一系列坐标变换应用于锐利图像,所述一系列坐标变换相对于旋转操作和缩放操作中的一个或多个而不同。 该方法还包括计算与该系列试验图像相对应的一系列模糊粒子,每个模糊核心将来自一系列试验图像的试验图像映射到模糊图像。 该方法还包括将稀疏模糊核心定位在一系列模糊核心中,以及将映射与稀疏模糊核心的试用图像映射到模糊图像的坐标变换的旋转操作和缩放操作中的一个或多个。

    IMAGE SUPER-RESOLUTION USING GRADIENT PROFILE PRIOR
    44.
    发明申请
    IMAGE SUPER-RESOLUTION USING GRADIENT PROFILE PRIOR 有权
    使用梯度轮廓的图像超分辨率

    公开(公告)号:US20100086227A1

    公开(公告)日:2010-04-08

    申请号:US12245712

    申请日:2008-10-04

    IPC分类号: G06K9/36

    摘要: Described is a technology by which a low-resolution image is processed into a high-resolution image, including by performing processing in the gradient domain. A gradient profile corresponding to the lower-resolution image is transform into a sharpened image gradient. A high-resolution gradient profile is estimated from a low-resolution gradient profile, e.g., by multiplying the low-resolution gradient profile by a transform ratio that is based upon learned shape parameters, learned sharpness values and a curve distance to an edge pixel along the gradient profile. The transform ratio is used to transform a low-resolution gradient field to a high-resolution gradient field. Reconstructing the higher-resolution image is performed by using the high-resolution gradient field as a gradient domain constraint, e.g., in along with a reconstruction constraint obtained from image domain data. An energy function is minimized by enforcing the gradient domain constraint and the reconstruction constraint, e.g., by performing a gradient descent algorithm.

    摘要翻译: 描述了将低分辨率图像处理成高分辨率图像的技术,包括通过在梯度域中执行处理。 对应于较低分辨率图像的渐变曲线被转换成锐化的图像梯度。 从低分辨率梯度轮廓估计高分辨率梯度轮廓,例如,通过将低分辨率梯度轮廓乘以基于学习的形状参数,学习的锐度值和到边缘像素的曲线距离的变换比, 梯度轮廓。 变换比用于将低分辨率梯度场转换为高分辨率梯度场。 通过使用高分辨率梯度场作为梯度域约束,例如与从图像域数据获得的重建约束一起,进行重建高分辨率图像。 通过执行梯度域约束和重构约束,例如通过执行梯度下降算法来最小化能量函数。

    Image completion with structure propagation
    45.
    发明授权
    Image completion with structure propagation 失效
    图像完成与结构传播

    公开(公告)号:US07502521B2

    公开(公告)日:2009-03-10

    申请号:US11158113

    申请日:2005-06-21

    IPC分类号: G06T3/00

    CPC分类号: G06T5/005

    摘要: Image completion with structure propagation is described. In one aspect, synthesized patches for an unknown region in an input image are automatically generated. The synthesized patches are generated from a known region in the input image based on information from one or more curves. The one or more curves were generated to provide missing structure to the unknown region. Structure is propagated to the unknown region with the synthesized patches.

    摘要翻译: 描述了具有结构传播的图像完成。 在一个方面,自动生成输入图像中未知区域的合成补丁。 基于来自一个或多个曲线的信息,从输入图像中的已知区域生成合成的补丁。 生成一条或多条曲线以向未知区域提供缺失的结构。 结构用合成的斑块传播到未知区域。

    Creating optimized gradient mesh of a vector-based image from a raster-based image
    46.
    发明申请
    Creating optimized gradient mesh of a vector-based image from a raster-based image 有权
    从基于光栅的图像创建基于矢量的图像的优化梯度网格

    公开(公告)号:US20080278479A1

    公开(公告)日:2008-11-13

    申请号:US11800680

    申请日:2007-05-07

    IPC分类号: G06T15/00

    CPC分类号: G06T17/20

    摘要: A method for creating an optimized gradient mesh of a vector-based image from a raster-based image. In one implementation, a set of boundaries for an object on a raster-based image may be received. An initial gradient mesh of the object may be created. A residual energy between the object on the raster-based image and a rendered initial gradient mesh may be minimized to generate an optimized gradient mesh.

    摘要翻译: 一种用于从基于光栅的图像创建基于矢量的图像的优化梯度网格的方法。 在一个实现中,可以接收基于光栅的图像上的对象的一组边界。 可以创建对象的初始渐变网格。 基于光栅的图像上的对象与渲染的初始梯度网格之间的剩余能量可以被最小化以生成优化的梯度网格。

    Generic image hallucination
    47.
    发明授权
    Generic image hallucination 有权
    通用图像幻象

    公开(公告)号:US07379611B2

    公开(公告)日:2008-05-27

    申请号:US10817471

    申请日:2004-04-01

    IPC分类号: G06K9/32 G06K9/40

    CPC分类号: G06T3/4007

    摘要: Techniques are disclosed to enable generation of a high-resolution image from any generic low-resolution image. In one described implementation, a method includes extracting, at a training phase, a plurality of primal sketch priors from training data. At a synthesis phase, the plurality of primal sketch priors are utilized to improve a low-resolution image by replacing one or more low-frequency primitives extracted from the low-resolution image with corresponding ones of the plurality of primal sketch priors.

    摘要翻译: 公开了技术以使得能够从任何通用的低分辨率图像生成高分辨率图像。 在一个描述的实现中,一种方法包括在训练阶段从训练数据中提取多个原始草图先验。 在合成阶段,利用多个原始草图优先级,通过将从低分辨率图像提取的一个或多个低频原语替换为多个原始素描先验中的相应图像,来利用低分辨率图像来改善低分辨率图像。

    Digital cameras with luminance correction
    48.
    发明申请
    Digital cameras with luminance correction 有权
    具有亮度校正的数码相机

    公开(公告)号:US20050219391A1

    公开(公告)日:2005-10-06

    申请号:US10817008

    申请日:2004-04-01

    摘要: Techniques are disclosed to improve quality of images that may be blurred or underexposed (e.g., because of camera shake, taken in dim lighting conditions, or taken of high action scenes). The techniques may be implemented in a digital camera, digital video camera, or a digital camera capable of capturing video. In one described implementation, a digital camera includes an image sensor, a storage device, and a processing unit. The image sensor captures two images from a same scene which are stored on the storage device. The processing unit enhances the captured images with luminance correction.

    摘要翻译: 公开了提高可能模糊或曝光不足的图像质量的技术(例如,由于相机抖动,在昏暗的照明条件下拍摄或拍摄的高动作场景)。 这些技术可以在能够捕获视频的数码相机,数字摄像机或数字照相机中实现。 在一个描述的实施方案中,数字照相机包括图像传感器,存储装置和处理单元。 图像传感器捕获存储在存储设备上的相同场景中的两个图像。 处理单元通过亮度校正来增强拍摄图像。

    Pose-robust recognition
    49.
    发明授权
    Pose-robust recognition 有权
    姿势鲁棒识别

    公开(公告)号:US09323980B2

    公开(公告)日:2016-04-26

    申请号:US13107856

    申请日:2011-05-13

    摘要: Some implementations provide techniques and arrangements to address intrapersonal variations encountered during facial recognition. For example, some implementations transform at least a portion of an image from a first intrapersonal condition to a second intrapersonal condition to enable more accurate comparison with another image. Some implementations may determine a pose category of an input image and may modify at least a portion of the input image to a different pose category of another image for comparing the input image with the other image. Further, some implementations provide for compression of data representing at least a portion of the input image to decrease the dimensionality of the data.

    摘要翻译: 一些实现提供了解决在面部识别期间遇到的内在变化的技术和布置。 例如,一些实施方式将图像的至少一部分从第一内在条件转换为第二内在条件,以使得能够与另一图像更准确地进行比较。 一些实现可以确定输入图像的姿态类别,并且可以将输入图像的至少一部分修改为另一图像的不同姿势类别,以将输入图像与另一图像进行比较。 此外,一些实施方案提供了表示输入图像的至少一部分的数据的压缩以降低数据的维度。

    Association and prediction in facial recognition
    50.
    发明授权
    Association and prediction in facial recognition 有权
    面部识别中的关联和预测

    公开(公告)号:US09251402B2

    公开(公告)日:2016-02-02

    申请号:US13107800

    申请日:2011-05-13

    IPC分类号: G06K9/00 G06T7/00 G06K9/46

    摘要: Some implementations provide techniques and arrangements to address intrapersonal variations encountered during facial recognition. For example, some implementations employ an identity data set having a plurality of images representing different intrapersonal settings. A predictive model may associate one or more input images with one or more images in the identity data set. Some implementations may use an appearance-prediction approach to compare two images by predicting an appearance of at least one of the images under an intrapersonal setting of the other image. Further, some implementations may utilize a likelihood-prediction approach for comparing images that generates a classifier for an input image based on an association of an input image with the identity data set.

    摘要翻译: 一些实现提供了解决在面部识别期间遇到的内在变化的技术和布置。 例如,一些实现采用具有表示不同内部设置的多个图像的身份数据集。 预测模型可以将一个或多个输入图像与身份数据集中的一个或多个图像相关联。 一些实现可以使用外观预测方法来通过在另一图像的内部设置下预测至少一个图像的外观来比较两个图像。 此外,一些实现可以利用似然预测方法来比较基于输入图像与身份数据集的关联来生成用于输入图像的分类器的图像。