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AssigneeThe Regents of the University of California
InventorsNima Khademi Kalantari, Ravi Ramamoorthi
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Devices, systems and methods for generating high dynamic range images and video from a set of low dynamic range images and video using convolution neural networks (CNNs) are described. One exemplary method for generating high dynamic range visual media includes generating, using a first CNN to merge a first set of images having a first dynamic range, a final image having a second dynamic range that is greater than the first dynamic range. Another exemplary method for generating training data includes generating sets of static and dynamic images having a first dynamic range, generating, based on a weighted sum of the set of static images, a set of ground truth images having a second dynamic range greater than the first dynamic range, and replacing at least one of the set of dynamic images with an image from the set of static images to generate a set of training images.
A method for visual media processing, comprising:
An apparatus for visual media processing, comprising:
A non-transitory computer readable program storage medium having code stored thereon, the code, when executed by a processor, causing the processor to implement a method for visual media processing, the method comprising:
A method of generating training data for calculation of visual media, comprising:
Dependencies are inferred from the claim text.