Invention Grant
- Patent Title: Regression-based learning model for image upscaling
- Patent Title (中): 基于回归的图像增大学习模型
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Application No.: US13565334Application Date: 2012-08-02
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Publication No.: US08655109B2Publication Date: 2014-02-18
- Inventor: Zhe Lin , Scott D. Cohen , Jen-Chan Chien , Sarah A. Kong , Jianchao Yang
- Applicant: Zhe Lin , Scott D. Cohen , Jen-Chan Chien , Sarah A. Kong , Jianchao Yang
- Applicant Address: US CA San Jose
- Assignee: Adobe Systems Incorporated
- Current Assignee: Adobe Systems Incorporated
- Current Assignee Address: US CA San Jose
- Agency: Wolfe-SBMC
- Main IPC: G06K9/32
- IPC: G06K9/32 ; G06K9/00

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.
Public/Granted literature
- US20130034313A1 Regression-Based Learning Model for Image Upscaling Public/Granted day:2013-02-07
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