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公开(公告)号：US20230188690A1
公开(公告)日：2023-06-15
申请号：US18105660
申请日：2023-02-03
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Abdelrahman ABDELHAMED , Abhijith Punnappurath , Michael Scott Brown
CPC classification number: H04N9/73 , G06T3/40 , G06T7/90 , G06V10/141 , G06V10/24 , G06V10/56 , G06V10/82 , G06T2207/10024 , G06T2207/20132
Abstract: A method for processing image data may include: obtaining a first image and a second image that capture a same scene in different views, from a first camera and a second camera, respectively; spatially aligning the first image with the second image; obtaining a color transformation matrix that maps the first image to the second image based on color values of the first image and the second image; obtaining an estimated illuminant color from an output of a neural network by inputting the color transformation matrix to the neural network, wherein the neural network is trained based on a pair of reference images of a same reference scene with a color rendition chart that are captured by different cameras having different spectral sensitivities; and performing a white balance correction on the first image based on the estimated illuminant color to output a corrected first image.
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公开(公告)号：US12293497B2
公开(公告)日：2025-05-06
申请号：US18105660
申请日：2023-02-03
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Abdelrahman Abdelhamed , Abhijith Punnappurath , Michael Scott Brown
IPC: G06T5/92 , G06T3/40 , G06T7/11 , G06T7/30 , G06T7/90 , G06V10/141 , G06V10/24 , G06V10/56 , G06V10/82 , H04N9/73 , H04N23/85 , H04N23/90 , H04N25/17
Abstract: A method for processing image data may include: obtaining a first image and a second image that capture a same scene in different views, from a first camera and a second camera, respectively; spatially aligning the first image with the second image; obtaining a color transformation matrix that maps the first image to the second image based on color values of the first image and the second image; obtaining an estimated illuminant color from an output of a neural network by inputting the color transformation matrix to the neural network, wherein the neural network is trained based on a pair of reference images of a same reference scene with a color rendition chart that are captured by different cameras having different spectral sensitivities; and performing a white balance correction on the first image based on the estimated illuminant color to output a corrected first image.
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公开(公告)号：US20240177278A1
公开(公告)日：2024-05-30
申请号：US17993357
申请日：2022-11-23
Applicant: Samsung Electronics Co., Ltd.
Inventor： Changgeng Liu , Luxi Zhao , Ziwen Jiang , Abdelrahman Abdelhamed , Abhijith Punnappurath , Ye Zhao , Ernest Rehmatulla Post , Michael Brown , Sajid Sadi
CPC classification number: G06T5/003 , G06T5/002 , G06T5/50 , G06T2207/20201
Abstract: In one embodiment, a method includes generating, from an accessed image, one or more image patches, and for each image patch: (1) accessing a set of point-spread functions (PSFs), wherein each PSF in the set of PSFs corresponds to one of a plurality of points in the image patch; (2) generating a set of deconvolved image patches by deconvolving the image patch with each PSF from the set of PSFs for that patch; (3) determining, for each of one or more portions of the image patch, a set of weights, wherein each weight in the set of weights is associated with one of the deconvolved image patches; and (4) generating a restored image patch by interpolating the set of deconvolved image patches based on the set of weights.
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公开(公告)号：US12015855B2
公开(公告)日：2024-06-18
申请号：US17566425
申请日：2021-12-30
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Abdullah Abuolaim , Abhijith Punnappurath , Abdelrahman Abdelhamed , Michael Scott Brown , Aleksai Levinshtein
Abstract: A method of generating a low-light image is provided. The method includes receiving a raw image, removing an amount of first illumination from the raw image, applying a low exposure condition to the raw image having the amount of first illumination removed, and applying an amount of low-light illumination to the raw image having the applied low exposure condition.
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Patent Agency Ranking
5.发明公开公开(公告)号：US20240071041A1
公开(公告)日：2024-02-29
申请号：US18227456
申请日：2023-07-28
Applicant: Samsung Electronics Co., Ltd.
Inventor： Abdelrahman Abdelhamed , Michael S. Brown , Abhijith Punnappurath , Hoang Minh Le , Luxi Zhao
IPC: G06V10/56 , G06V10/141 , G06V10/54
CPC classification number: G06V10/56 , G06V10/141 , G06V10/54
Abstract: A method for processing image data, including obtaining a raw input image that is captured using a first image sensor under an input illumination condition; obtaining, using a transform estimator, a color transform that maps a characteristic of the first image sensor to a characteristic of a second image sensor, based on the input illumination condition; and generating a raw output image having the characteristic of the second image sensor based on the raw input image and the color transform.
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公开(公告)号：US20210297582A1
公开(公告)日：2021-09-23
申请号：US17094213
申请日：2020-11-10
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Michael Scott BROWN , Abhijith Punnappurath
Abstract: An apparatus for customizing camera parameters is provided. The apparatus includes: an image signal processor; and a processor configured to execute instructions to: generate a first edited image based on a first original image, the first original image including first original image data and first metadata indicating a first pattern of processed RGB colors; identify a first mapping function by analyzing the first pattern with respect to a fixed pattern of unprocessed-RGB color space samples; generate first unprocessed image data based on the first mapping function and the first original image; identify image signal processor adjustment parameters based on the first unprocessed image data and the first edited image; and image signal processor parameters of the image signal processor based on the image signal processor adjustment parameters.
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公开(公告)号：US20240029460A1
公开(公告)日：2024-01-25
申请号：US18143306
申请日：2023-05-04
Applicant: Samsung Electronics Co., Ltd.
Inventor： Michael Scott Brown , Abhijith Punnappurath , Abdelrahman Abdelhamed , Luxi Zhao
Abstract: An electronic device may be provided to identify fake pixels from an image that is processed via an image processor that uses artificial intelligence (AI) technology and/or an AI camera module to perform image authentication. The electronic device may be configured to: obtain an input image; obtain a processed image of the input image via AI-based model; generate authentication metadata that indicates fake pixels that have been generated by the AI-based model; store the authentication metadata in association with the processed image in the at least one memory; and output the processed image with an indication of the fake pixels.
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公开(公告)号：US11451703B2
公开(公告)日：2022-09-20
申请号：US17094213
申请日：2020-11-10
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Michael Scott Brown , Abhijith Punnappurath
Abstract: An apparatus for customizing camera parameters is provided. The apparatus includes: an image signal processor; and a processor configured to execute instructions to: generate a first edited image based on a first original image, the first original image including first original image data and first metadata indicating a first pattern of processed RGB colors; identify a first mapping function by analyzing the first pattern with respect to a fixed pattern of unprocessed-RGB color space samples; generate first unprocessed image data based on the first mapping function and the first original image; identify image signal processor adjustment parameters based on the first unprocessed image data and the first edited image; and image signal processor parameters of the image signal processor based on the image signal processor adjustment parameters.
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公开(公告)号：US20220156899A1
公开(公告)日：2022-05-19
申请号：US17377656
申请日：2021-07-16
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Abdelrahman Abdelhamed , Abhijith Punnappurath , Michael Scott BROWN
Abstract: A method for processing image data may include: obtaining a first image and a second image that capture a same scene in different views, from a first camera and a second camera, respectively; spatially aligning the first image with the second image; obtaining a color transformation matrix that maps the first image to the second image based on color values of the first image and the second image; obtaining an estimated illuminant color from an output of a neural network by inputting the color transformation matrix to the neural network, wherein the neural network is trained based on a pair of reference images of a same reference scene and a color rendition chart that are captured by different cameras having different spectral sensitivities; and performing a white balance correction on the first image based on the estimated illuminant color to output a corrected first image.
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