Regression-Based Learning Model for Image Upscaling
First Claim
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1. A method, the method comprising:
- using one or more processors to performgenerating a set of image patch pairs for each of a set of images, wherein each of the image patch pairs contains a natural image and a corresponding downscaled lower-resolution image;
defining a regression model based at least in part on the set of image patch pairs, wherein the regression model represents a gradient of a function of the downscaled lower-resolution image; and
upscaling an image based at least in part on the regression model.
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Abstract
Methods and systems for a regression-based learning model in image upscaling are disclosed. In one embodiment, a set of image patch pairs for each of a set of images is generated. Each of the image patch pairs contains a natural image and a corresponding downscaled lower-resolution image. A regression model based at least in part on the set of image patch pairs is defined. The regression model represents a gradient of a function of the downscaled lower-resolution image. An image is upscaled based at least in part on the regression model.
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Citations
20 Claims
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1. A method, the method comprising:
using one or more processors to perform generating a set of image patch pairs for each of a set of images, wherein each of the image patch pairs contains a natural image and a corresponding downscaled lower-resolution image; defining a regression model based at least in part on the set of image patch pairs, wherein the regression model represents a gradient of a function of the downscaled lower-resolution image; and upscaling an image based at least in part on the regression model. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A system, comprising:
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at least one processor; and a memory comprising program instructions, wherein the program instructions are executable by the at least one processor to; generate a set of image patch pairs for each of a set of images, wherein each of the image patch pairs contains a natural image and a corresponding downscaled lower-resolution image; define a regression model based at least in part on the set of image patch pairs, wherein the regression model represents a gradient of a function of the downscaled lower-resolution image; and upscale an image based at least in part on the regression model. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. A non-transitory computer-readable storage medium storing program instructions, wherein the program instructions are computer-executable to implement:
using one or more processors to perform generating a set of image patch pairs for each of a set of images, wherein each of the image patch pairs contains a natural image and a corresponding downscaled lower-resolution image; defining a regression model based at least in part on the set of image patch pairs, wherein the regression model represents a gradient of a function of the downscaled lower-resolution image; and upscaling an image based at least in part on the regression model. - View Dependent Claims (16, 17, 18, 19, 20)
Specification