System and method for learning-based image super-resolution
AssigneeMitsubishi Electric Research Laboratories, Inc.
InventorEsra Cansizoglu
Life of this patent
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Abstract
An image processing system includes an input interface to receive a set of pairs of images to train an image generator, each pair includes a low-resolution image of a scene and a high-resolution image of the scene, a processor to train the image generator by solving an optimization problem to produce parameters of the image generator reducing distances between image gradients of the high-resolution images and the corresponding low-resolution images upsampled by the image generator, and an output interface to render the parameters of the image generator.
Claims15
An image processing system, comprising:
- an input interface to receive a set of pairs of images to train an image generator, each pair includes a low-resolution image of a scene and a high-resolution image of the scene;
- a processor to train the image generator by solving an optimization problem to produce parameters of the image generator reducing distances between image gradients of the high-resolution images and the corresponding low-resolution images upsampled by the image generator;
- and
- an output interface to render the parameters of the image generator.
An image processing method, wherein the method uses a processor coupled with stored instructions implementing the method, wherein the instructions, when executed by the processor carry out steps of the method, comprising:
- receiving a set of pairs of images to train an image generator, each pair includes a low-resolution image of a scene and a high-resolution image of the scene;
- training the image generator by solving an optimization problem to produce parameters of the image generator reducing distances between image gradients of the high-resolution images and the corresponding low-resolution images upsampled by the image generator;
- and
- outputting the parameters of the image generator.
A non-transitory computer readable storage medium embodied thereon a program executable by a processor for performing a method, the method comprising:
- receiving a set of pairs of images to train an image generator, each pair includes a low-resolution image of a scene and a high-resolution image of the scene;
- training the image generator by solving an optimization problem to produce parameters of the image generator reducing distances between image gradients of the high-resolution images and the corresponding low-resolution images upsampled by the image generator;
- and
- outputting the parameters of the image generator.
Dependencies are inferred from the claim text.