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    IMAGE-FILTERING METHOD AND IMAGE-FILTERING DEVICE
    67.
    发明申请
    IMAGE-FILTERING METHOD AND IMAGE-FILTERING DEVICE 审中-公开

    公开(公告)号：US20180040105A1

    公开(公告)日：2018-02-08

    申请号：US15622040

    申请日：2017-06-13

    申请人： Realtek Semiconductor Corporation

    发明人： Tsung-Hsuan LI ,  Hao-Tien CHIANG ,  Shih-Tse CHEN

    IPC分类号： G06T5/00 ,  G06T5/20

    CPC分类号： G06T5/002 ,  G06T5/003 ,  G06T5/20 ,  G06T2207/10024 ,  G06T2207/20024 ,  G06T2207/20192

    摘要： An image-filtering method that includes the steps outlined below is provided. Target image values and an input image having input pixel values are retrieved. A difference function between filtering response values of a desired output image and the target image values is determined, wherein the filtering response values are generated by filtering desired output pixel values of the desired output image based on characteristic filtering coefficients. An optimal solution of a desired output central pixel value of the desired output image is calculated according to a linear equation related to the characteristic filtering coefficients, wherein the optimal solution minimizes a value of the difference function. A corresponding relation between the desired output central pixel values and the input pixel values are retrieved from the optimal solution to calculate optimal filtering coefficients. A filtering circuit performs filtering on each pixel of an image under processing according to the optimal filtering coefficients.

    METHOD AND SYSTEM FOR PATTERN CORRECTION OF BOREHOLE IMAGES THROUGH IMAGE FILTERING
    68.
    发明申请
    METHOD AND SYSTEM FOR PATTERN CORRECTION OF BOREHOLE IMAGES THROUGH IMAGE FILTERING 审中-公开

    公开(公告)号：US20180005360A1

    公开(公告)日：2018-01-04

    申请号：US15629776

    申请日：2017-06-22

    申请人： Schlumberger Technology Corporation

    发明人： Clement Probel ,  Josselin Kherroubi ,  Roel Van Os ,  Richard Bloemenkamp

    IPC分类号： G06T5/10 ,  G06T5/20

    CPC分类号： G06T5/10 ,  G01V5/045 ,  G06T5/002 ,  G06T5/005 ,  G06T5/20 ,  G06T2207/20024

    摘要： In one embodiment, a computer-based method includes obtaining a first image where the first image includes one or more patterns, generating a second image that substantially removes or reduces the one or more patterns from the first image at least partially by automatically detecting the one or more patterns and a zone where the one or more patterns occur in the first image, converting the first image to frequency domain data, applying a multi-parameter filter to the frequency domain data to substantially remove or reduce the one or more patterns. The parameters may include bandwidths in a depth and azimuthal direction. The parameters may be adapted in the multi-parameter filter based on the one or more patterns. The method also includes transforming the frequency domain data to spatial domain data and outputting the second image based at least in part on the spatial domain data.

    DEPTH MAP FROM MULTI-FOCAL PLANE IMAGES
    69.
    发明申请
    DEPTH MAP FROM MULTI-FOCAL PLANE IMAGES 审中-公开

    公开(公告)号：US20170353682A1

    公开(公告)日：2017-12-07

    申请号：US15173011

    申请日：2016-06-03

    申请人： Recognition Robotics, Inc.

    发明人： Simon Melikian

    IPC分类号： H04N5/372 ,  G02B3/14 ,  H04N5/225

    CPC分类号： H04N5/372 ,  G02B3/14 ,  G06T7/0069 ,  G06T7/521 ,  G06T7/571 ,  G06T2207/10028 ,  G06T2207/10148 ,  G06T2207/20024 ,  H04N5/225

    摘要： A system for generating a depth map for an object in a three-dimensional (3D) scene includes an image capture sensor and a processor. The image capture sensor is configured to capture a plurality of images of the object at a plurality of different focal planes. The processor is configured to calculate a plurality of variance values for a plurality of image locations for each image captured by the image capture sensor. The processor is also configured to determine a peak variance value for the plurality of image locations based on the calculated variance values associated with the same image location for each of the plurality of images of the object at the plurality of different focal planes. The processor is also configured to generate the depth map for the object based on the determined peak variance value for each image location and the plurality of different focal planes.