IMAGE PROCESSING METHODS AND SYSTEMS FOR GENERATING A TRAINING DATASET FOR LOW-LIGHT IMAGE ENHANCEMENT USING MACHINE LEARNING MODELS

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United States of America Patent

APP PUB NO 20230186612A1
SERIAL NO

17551960

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ATTORNEY / AGENT: (SPONSORED)

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Abstract

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The present disclosure relates to an image processing method for generating a training dataset for training a machine learning model to enhance illumination of input images, said training dataset comprising target image/low-light image pairs to be used to train the machine learning model, said image processing method comprising, for generating a target image/low-light image pair:

    obtaining a target image representing a scene in a first color space, said first color space comprising a plurality of color channels including a color channel representative of the brightness of the scene, referred to as brightness channel, wherein the first color space comprises two color channels independent of the brightness of the scene, or is the L*a*b* color space,applying a darkening function to the brightness channel of the target image, thereby obtaining a low-light image of the scene and the target image/low light image pair in the first color space.

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Patent Owner(s)

Patent OwnerAddress
7 SENSING SOFTWARE75012 PARIS

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
BOIKO, Oleksandr Vincennes, FR 2 0
COLLARD, Arnaud Montesson, FR 4 38
MARTI, Clément René Malakoff, FR 2 0
SOLEIMANI, Elnaz Paris, FR 3 0

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