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    Image processing systems and methods
    1.
    发明授权
    Image processing systems and methods 有权

    公开(公告)号：US12105473B2

    公开(公告)日：2024-10-01

    申请号：US17410586

    申请日：2021-08-24

    申请人： DUALITAS LTD

    发明人： Jamieson Christmas

    IPC分类号： G03H1/22 ,  G03H1/02 ,  G06T3/00 ,  G06T3/4084

    CPC分类号： G03H1/2294 ,  G06T3/00 ,  G06T3/4084 ,  G03H2001/0224

    摘要： Methods of performing a complex Fourier transform of a complex data set corresponding to an image are disclosed. The methods comprise receiving a complex data set and performing a first 1D complex Fourier transform in the complex data set in Cartesian form; converting the complex data set into polar form and compressing the complex data set in polar form; performing a row-column transformation of the complex data set; decompressing the complex data set and converting the complex data set back into Cartesian form; and performing a second 1D Fourier transform in the complex data set in Cartesian form, wherein the second 1D complex Fourier transform is orthogonal to the first 1D complex Fourier transform. Corresponding systems are also disclosed, as are application to the iterative computation of computer-generated holograms.

    Image cleanup on a mobile device
    5.
    发明授权
    Image cleanup on a mobile device 有权

    公开(公告)号：US12131449B2

    公开(公告)日：2024-10-29

    申请号：US18465643

    申请日：2023-09-12

    申请人： eBay Inc.

    发明人： Qiaosong Wang

    IPC分类号： G06T7/194 ,  G06F18/24 ,  G06T3/4084 ,  G06T5/70 ,  G06T5/77

    CPC分类号： G06T5/77 ,  G06F18/24 ,  G06T3/4084 ,  G06T5/70 ,  G06T7/194 ,  G06T2207/20084

    摘要： Methods, systems, and articles of manufacture, including computer program products, are provided for image cleanup. In some embodiments, there is provide a method which may include subsampling a first image to a first level image of a multiscale transform; performing, based on a machine learning model, an identification of a foreground portion of the first level image and a background portion of the first level image; generating, based on the identification of the foreground portion and the background portion, a first mask; upscaling the first mask to a resolution corresponding to the first image depicting the foreground item; applying the upscaled first mask to the first image to form a second image depicting the foreground item; and providing the second image depicting the foreground item to a publication system. Related systems and articles of manufacture, including computer program products, are also provided.

    HIGH FREQUENCY EMPHASIS AMOUNT CONTROL DEVICE
    7.
    发明公开
    HIGH FREQUENCY EMPHASIS AMOUNT CONTROL DEVICE 审中-公开

    公开(公告)号：US20240311965A1

    公开(公告)日：2024-09-19

    申请号：US18673579

    申请日：2024-05-24

    申请人： JVCKENWOOD Corporation

    发明人： Hiroshi TAKESHITA

    IPC分类号： G06T3/4084 ,  G06T5/10

    CPC分类号： G06T3/4084 ,  G06T5/10 ,  G06T2207/20056 ,  G06T2207/20132

    摘要： A first discrete Fourier transform unit generates a first frequency spectrum by two-dimensional discrete Fourier transform of an input image signal. A second discrete Fourier transform unit generates a second frequency spectrum by two-dimensional discrete Fourier transform of an output image signal output from a high frequency emphasis circuit. A first and second high frequency component index generators generate a first and second high frequency component indices indicating a total amount of high frequency components based on the first and second frequency spectra, respectively. A high frequency component emphasis ratio calculator calculates a high frequency component emphasis ratio which is a ratio between a first high frequency component index and a second high frequency component index. An emphasis amount controller generates an emphasis amount control value based on a high frequency component emphasis ratio and a target emphasis ratio, and supplies it to the high frequency emphasis circuit.

    System and method of image stitching using robust camera pose estimation
    9.
    发明授权
    System and method of image stitching using robust camera pose estimation 有权

    公开(公告)号：US12106446B2

    公开(公告)日：2024-10-01

    申请号：US17214813

    申请日：2021-03-27

    申请人： Mitsubishi Electric Research Laboratories, Inc.

    发明人： Dehong Liu ,  Laixi Shi

    IPC分类号： G06T3/4038 ,  G06T3/4007 ,  G06T3/4084 ,  G06T7/70

    CPC分类号： G06T3/4038 ,  G06T3/4007 ,  G06T3/4084 ,  G06T7/70 ,  G06T2207/30244

    摘要： An image forming system for constructing a whole large image of an object is provided. The image forming system includes an interface configured to sequentially acquire images of partial areas of the object obtained by a camera, wherein two adjacent images of the partial areas include overlap portions, wherein the sequential images correspond to a three dimensional (3D) surface of the object, wherein the geometrical information (geometrical parameters) of the object is provided, wherein an initial pose of the camera is provided. The system further includes a memory to store computer-executable programs including a pose estimation method and a stitching method, and an image stitching processor configured to perform steps of estimating camera poses with respect to the sequential images by the robust camera pose estimation method which imposes low-rankness and joint sparsity of relative pose matrices, projecting the sequential images into a 3D surface based on the camera pose estimations, and constructing a two-dimensional (2D) image of the object by interpolating projected surface images; outputting the constructed 2D image via the interface.

    Iris registration method for ophthalmic laser surgical procedures
    10.
    发明授权
    Iris registration method for ophthalmic laser surgical procedures 有权

    公开(公告)号：US12016797B2

    公开(公告)日：2024-06-25

    申请号：US18154840

    申请日：2023-01-15

    申请人： AMO Development, LLC

    发明人： Javier Gonzalez

    IPC分类号： A61F9/008 ,  G06T3/4084 ,  G16H30/40

    CPC分类号： A61F9/008 ,  G06T3/4084 ,  G16H30/40 ,  A61F2009/00876

    摘要： In a laser cataract procedure that also corrects for astigmatism, an iris registration method compares an iris image of a patient's eye taken when the eye is not docked to a patient interface device with an iris image of the same eye that is docked to the patient interface, to calculate a rotation angle between the two images. The astigmatism axis of the eye is measured when the eye is not docked, and the measured axis is rotated by the calculated rotation angle to obtain a rotated astigmatism axis relative to the iris image of the docked eye. The laser cataract procedure is performed based on the rotated astigmatism axis. The rotation angle is calculated by optimizing a transformation that transforms the undocked iris image to match the docked iris image, where the transformation includes a dilation factor that accounts for different pupil dilation of the two iris images.