Invention Application
- Patent Title: SCALE ADAPTIVE BLIND DEBLURRING
- Patent Title (中): 规模自适应盲点消除
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Application No.: US15219590Application Date: 2016-07-26
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Publication No.: US20160335747A1Publication Date: 2016-11-17
- Inventor: JIANCHAO YANG
- 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
- Main IPC: G06T5/00
- IPC: G06T5/00 ; G06T5/10

Abstract:
Techniques are disclosed for removing blur from a single image by accumulating a blur kernel estimation across several scale levels of the image and balancing the contributions of the different scales to the estimation depending on the noise level in each observation. In particular, a set of observations can be obtained by applying a set of variable scale filters to a single blurry image at different scale levels. A single blur kernel can be estimated across all scales from the set of observations and used to obtain a single latent sharp image. The estimation at a large scale level is refined using the observations at successively smaller scale levels. The filtered observations may be weighted during the estimation to balance the contributions of each scale to the estimation of the blur kernel. A deblurred digital image is recovered by deconvolving the blurry digital image using the estimated blur kernel.
Public/Granted literature
- US09619870B2 Scale adaptive blind deblurring Public/Granted day:2017-04-11
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