HDR image representations using neural network mappings
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United States of America Patent
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Jun 14, 2022
Grant Date -
May 20, 2021
app pub date -
Apr 8, 2019
filing date -
Apr 9, 2018
priority date (Note) -
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Abstract
Methods and systems for mapping images from a first dynamic range to a second dynamic range using a set of reference color-graded images and neural networks are described. Given a first and a second image representing the same scene but at a different dynamic range, a neural network (NN) model is selected from a variety of NN models to determine an output image which approximates the second image based on the first image and the second image. The parameters of the selected NN model are derived according to an optimizing criterion, the first image and the second image, wherein the parameters include node weights and/or node biases for nodes in the layers of the selected NN model. Example HDR to SDR mappings using global-mapping and local-mapping representations are provided.
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