IMAGE SUPER-RESOLUTION USING GRADIENT PROFILE PRIOR
First Claim
1. In a computing environment, a method comprising, processing a lower-resolution image into a higher-resolution image, including by determining a gradient profile corresponding to the lower-resolution image, transforming the gradient profile into a sharpened image gradient, and reconstructing the higher-resolution image based upon the sharpened image gradient.
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Accused Products
Abstract
Described is a technology by which a low-resolution image is processed into a high-resolution image, including by performing processing in the gradient domain. A gradient profile corresponding to the lower-resolution image is transform into a sharpened image gradient. A high-resolution gradient profile is estimated from a low-resolution gradient profile, e.g., by multiplying the low-resolution gradient profile by a transform ratio that is based upon learned shape parameters, learned sharpness values and a curve distance to an edge pixel along the gradient profile. The transform ratio is used to transform a low-resolution gradient field to a high-resolution gradient field. Reconstructing the higher-resolution image is performed by using the high-resolution gradient field as a gradient domain constraint, e.g., in along with a reconstruction constraint obtained from image domain data. An energy function is minimized by enforcing the gradient domain constraint and the reconstruction constraint, e.g., by performing a gradient descent algorithm.
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Citations
20 Claims
- 1. In a computing environment, a method comprising, processing a lower-resolution image into a higher-resolution image, including by determining a gradient profile corresponding to the lower-resolution image, transforming the gradient profile into a sharpened image gradient, and reconstructing the higher-resolution image based upon the sharpened image gradient.
- 12. In a computing environment, a system comprising, an image processing mechanism that processes a lower-resolution image into a higher-resolution image, including by determining a high-resolution gradient field via a transformation from a low-resolution gradient field, and minimizing an energy function by using the high-resolution gradient field as a gradient domain constraint and using a reconstruction constraint.
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16. One or more computer-readable media having computer-executable instructions, which when executed perform steps, comprising:
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determining a gradient profile corresponding to a lower-resolution image, estimating a high-resolution gradient profile from a low-resolution gradient profile; transforming a low-resolution gradient field to a high-resolution gradient field; and reconstructing a higher-resolution image relative to the lower-resolution image by using a high-resolution gradient field as a gradient domain constraint. - View Dependent Claims (17, 18, 19, 20)
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Specification