Invention Grant
- Patent Title: Learned piece-wise patch regression for image enhancement
- Patent Title (中): 学习了片面补丁回归图像增强
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Application No.: US13691190Application Date: 2012-11-30
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Publication No.: US09117262B2Publication Date: 2015-08-25
- Inventor: Zhe Lin , Xin Lu , Jonathan Brandt , Hailin Jin
- Applicant: Adobe Systems Incorporated
- Applicant Address: US CA San Jose
- Assignee: Adobe Systems Incorporated
- Current Assignee: Adobe Systems Incorporated
- Current Assignee Address: US CA San Jose
- Agency: Kilpatrick Townsend & Stockton LLP
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06T5/00

Abstract:
Systems and methods are provided for providing learned, piece-wise patch regression for image enhancement. In one embodiment, an image manipulation application generates training patch pairs that include training input patches and training output patches. Each training patch pair includes a respective training input patch from a training input image and a respective training output patch from a training output image. The training input image and the training output image include at least some of the same image content. The image manipulation application determines patch-pair functions from at least some of the training patch pairs. Each patch-pair function corresponds to a modification to a respective training input patch to generate a respective training output patch. The image manipulation application receives an input image generates an output image from the input image by applying at least some of the patch-pair functions based on at least some input patches of the input image.
Public/Granted literature
- US20140153819A1 Learned Piece-Wise Patch Regression for Image Enhancement Public/Granted day:2014-06-05
Information query