Exposure-related intensity transformation

    公开(公告)号:US10666873B2

    公开(公告)日:2020-05-26

    申请号:US15954941

    申请日:2018-04-17

    Abstract: An image processing device for generating an output image front an input image of a scene, the input image being the first image and the output image being the second image, the output image corresponds to an exposure that is different from an exposure of the input image, the image processing device comprising an intensity transformer that is configured to determine one or more intensities of an output pixel of the output image based on an input patch around an input pixel of the input image that corresponds to the output pixel.

    System and Method for Processing Input Images Before Generating a High Dynamic Range Image
    13.
    发明申请
    System and Method for Processing Input Images Before Generating a High Dynamic Range Image 有权
    在生成高动态范围图像之前处理输入图像的系统和方法

    公开(公告)号:US20160364847A1

    公开(公告)日:2016-12-15

    申请号:US15245402

    申请日:2016-08-24

    Abstract: An image processing system for generating a high dynamic range image from a first image and a second image is presented. The system comprises a first displacement estimator adapted to estimate a displacement of image content between a reference image derived from the first image and an image to be warped derived from the second image. The system comprises a first warping unit that compensates the estimated displacement by warping the image to be warped resulting in a first warped image. The system comprises a first error detector adapted to detect geometric warping errors within the first warped image and a first error compensator adapted to compensate the estimated geometric warping errors within the first warped image resulting in a first error corrected image. The system comprises a high dynamic range calculator adapted to calculate the high-dynamic range image based upon the first error corrected image and the reference image.

    Abstract translation: 提出了一种用于从第一图像和第二图像生成高动态范围图像的图像处理系统。 该系统包括第一位移估计器,其适于估计从第一图像导出的参考图像与从第二图像导出的待扭曲图像之间的图像内容的位移。 该系统包括第一翘曲单元,其通过扭曲扭曲的图像来补偿估计的位移,导致第一翘曲图像。 该系统包括适于检测第一翘曲图像内的几何翘曲误差的第一误差检测器和适于补偿第一翘曲图像内的估计的几何翘曲误差的第一误差补偿器,产生第一误差校正图像。 该系统包括高动态范围计算器,其适于基于第一误差校正图像和参考图像来计算高动态范围图像。

    Learnable localization using images

    公开(公告)号:US12106511B2

    公开(公告)日:2024-10-01

    申请号:US17473466

    申请日:2021-09-13

    Abstract: An apparatus for generating a model for pose estimation of a system obtains training data for a multiple locations. The training data includes one or more images captured by an image capturing device and the respective poses of the captured images. At least one data sample is generated from the training data for each of the captured images, where a data sample for an image is an assignment of the image and at least one other image selected from the training data to respective poses. A neural network is trained with a data set made up of the data samples to estimate a respective pose of a localization image from: the localization image; at least one additional image from the training data; and a respective pose of each of additional image.

    Method and apparatus for generating high dynamic range image

    公开(公告)号:US11017509B2

    公开(公告)日:2021-05-25

    申请号:US16448662

    申请日:2019-06-21

    Abstract: A method and an apparatus for generating a High Dynamic Range, HDR, image are proposed. The method comprises obtaining a set of two or more input images, the two or more input images including a reference image and one or more non-reference images; for each of the one or more non-reference images, performing an image analysis which comprises, for each region of a plurality of regions of the non-reference image, assessing whether the region of the non-reference image and a corresponding region of the reference image show the same image content and declaring the region of the non-reference image as valid or as invalid based on the assessment; and generating the HDR image by fusing the reference image and the one or more non-reference images, wherein the fusing comprises, for each of the one or more non-reference images, disregarding the invalid regions of the respective non-reference image.

    Non-Local Image Denoising
    18.
    发明申请
    Non-Local Image Denoising 审中-公开
    非本地图像去噪

    公开(公告)号:US20170069059A1

    公开(公告)日:2017-03-09

    申请号:US15355660

    申请日:2016-11-18

    Abstract: An image processing apparatus for processing a digital image, where the digital image comprises a reference block and a plurality of further blocks, and where the image processing apparatus comprises a determiner being configured to determine a plurality of similarity measures between the reference block and the plurality of further blocks, wherein each similarity measure indicates a similarity between a noise distribution in the reference block and a noise distribution in a further block of the plurality of further blocks, and the determiner being further configured to determine a plurality of similar blocks from the plurality of further blocks upon the basis of the plurality of similarity measures.

    Abstract translation: 一种用于处理数字图像的图像处理装置,其中所述数字图像包括参考块和多个另外的块,并且其中所述图像处理装置包括确定器,其被配置为确定所述参考块和所述多个图像之间的多个相似性度量 其中每个相似性度量指示参考块中的噪声分布与所述多个另外块的另一块中的噪声分布之间的相似度,并且所述确定器还被配置为从所述多个另外的块中确定多个相似块 基于多个相似性度量的另外的块。

    DATA PROCESSING APPARATUS AND METHOD FOR DETERMINING A POSE

    公开(公告)号:US20240104773A1

    公开(公告)日:2024-03-28

    申请号:US18523567

    申请日:2023-11-29

    Abstract: A data processing apparatus for determining a pose of an image capturing device based on an image of a three dimensional (3D) scene is disclosed. The data processing apparatus comprises a processing circuitry configured to: select a plurality of key two dimensional (2D) points of a plurality of 2D points of the image based on a respective score of each of the plurality of 2D points; determine at least for a subset of the plurality of 2D points of the image a respective feature vector for obtaining a plurality of feature vectors; concatenate the image with the plurality of feature vectors for obtaining an intermediate tensor; determine a plurality of 3D points of the 3D scene based on the intermediate tensor; and determine the pose based on the plurality of key 2D points of the image and the plurality of 3D points of the 3D scene using a Perspective-n-Point scheme.

    Image processing apparatus and method for determining a depth of a pixel of a reference image

    公开(公告)号:US10692235B2

    公开(公告)日:2020-06-23

    申请号:US15655841

    申请日:2017-07-20

    Abstract: The disclosure relates to an image processing apparatus for determining a depth of a pixel of a reference image of a plurality of images representing a visual scene relative to a plurality of locations, wherein the plurality of locations define a two-dimensional grid with rows and columns and wherein the location of the reference image is associated with a reference row and a reference column of the grid. The image processing apparatus comprises a depth determiner configured to determine a first depth estimate on the basis of the reference image and a first subset of the plurality of images for determining the depth of the pixel of the reference image, wherein the images of the first subset are associated with locations being associated with a row of the grid different than the reference row and with a column of the grid different than the reference column.

Patent Agency Ranking