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Patent Searching and Data


Title:
ELECTRONIC DEVICE AND METHOD OF CONTROLLING THEREOF
Document Type and Number:
WIPO Patent Application WO/2020/231243
Kind Code:
A1
Abstract:
An electronic device is provided. The electronic device may include at least one processor, and at least one memory. The at least one processor may be configured to execute the instructions stored in the at least one memory, to: acquire an input image, predict an inverse function of a monotonically increasing function for decreasing an image contrast ratio by applying the input image to a learning model trained by using an artificial intelligence algorithm, and acquire an output image based on the input image and the predicted inverse function of the monotonically increasing function. The learning model may be trained to predict the inverse function of the monotonically increasing function for decreasing the an image contrast ratio by using a training image generated by applying a target image having a high contrast ratio to the monotonically increasing function and the inverse function of the monotonically increasing function as training data.

Inventors:
KIM BONGJOE (KR)
Application Number:
PCT/KR2020/095083
Publication Date:
November 19, 2020
Filing Date:
May 06, 2020
Export Citation:
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Assignee:
SAMSUNG ELECTRONICS CO LTD (KR)
International Classes:
H04N5/57; G06N20/00; G09G5/10; H04N9/68
Foreign References:
US20040150602A12004-08-05
US20190102678A12019-04-04
EP1486914A12004-12-15
US7221807B22007-05-22
Other References:
ALEXANDER SELVIKVAG LUNDERVOLD, ARVID LUNDERVOLD: "An overview of deep learning in medical imaging focusing on MRI", ZEITSCHRIFT FÜR MEDIZINISCHE PHYSIK, 3 May 2019 (2019-05-03), pages 1 - 44, XP055752944
JIANRUI CAI; SHUHANG GU; LEI ZHANG: "Learning a Deep Single Image Contrast Enhancer from Multi-Exposure Images", IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 27, no. 4, 30 April 2018 (2018-04-30), pages 1 - 14, XP055722749, ISSN: 1057-7149, DOI: 10.1109/TIP.2018.2794218
YUMA KINOSHITAHITOSHI KIYA, IMAGE ENHANCEMENT NETWORK TRAINED BY USING HDR IMAGES
See also references of EP 3850828A4
Attorney, Agent or Firm:
KIM, Tae-hun et al. (KR)
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