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Title:
SYSTEMS AND METHODS FOR LIGHTWEIGHT MACHINE LEARNING FOR IMAGE ILLUMINATION CONTROL
Document Type and Number:
WIPO Patent Application WO/2023/171984
Kind Code:
A1
Abstract:
In one embodiment, a method includes accessing an input image associated with an initial illumination, extracting from the input image at least a first, a second, and a third mono-channel images based on a first, a second, a third image channel, respectively, determining a first, a second, and a third correction for the first, second, and third mono-channel images with a first, a second, and a third correction algorithm, respectively, generating a first, a second, and a third corrected mono-channel image by applying the first, second, and third correction to the first, second, and third mono-channel image, respectively, and generating an output corrected image corresponding to the input image based on the first, second, and third mono-channel corrected images, wherein the output corrected image is associated with a corrected illumination with respect to the initial illumination.

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Inventors:
VYAS KUSHAL KARDAM (US)
HAJASH KATHLEEN SOFIA (US)
BALAJI ABHIJIT (US)
SADI SAJID (US)
KIM JIHEE (US)
FUHRMANN HANNA (US)
Application Number:
PCT/KR2023/002924
Publication Date:
September 14, 2023
Filing Date:
March 03, 2023
Export Citation:
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Assignee:
SAMSUNG ELECTRONICS CO LTD (KR)
International Classes:
G06T5/00; G06N20/00; G06T3/40; G06T15/80; G06T17/20; G06V10/14
Foreign References:
US20220014684A12022-01-13
US20200143230A12020-05-07
US20200015575A12020-01-16
KR20220001417A2022-01-05
Other References:
MAHMOUD AFIFI: "Semantic White Balance: Semantic Color Constancy Using Convolutional Neural Network", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 1 February 2018 (2018-02-01), 201 Olin Library Cornell University Ithaca, NY 14853 , XP081106774
Attorney, Agent or Firm:
Y.P.LEE, MOCK & PARTNERS (KR)
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