Patent · US Active

Direction-adaptive image deblurring method

US9582862B2 · kind B2 · utility

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10Claims
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Key dates

Filing dateFeb 10, 2015
Grant dateFeb 28, 2017
Priority date
Expiry dateFeb 10, 2035

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06T2207/20056
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

The invention discloses a direction-adaptive image deblurring method, comprising steps of: (1) defining a minimum cost function for deblurring an image by direction-adaptive total variation regularization; (2) converting the unconstrained minimization problem in step (1) to a constrained problem by auxiliary variables d1=Hu, d2=∇xu and d3=∇yu; (3) obtaining a new minimum cost function from the constrained problem in step (2) by introducing penalty terms; and (4) converting the minimization problem in step (3) to an alternating minimization problem about u, d1, d2 and d3, where a minimum of a variable is calculated as other variables are determined, and obtaining a deblurred image by solving the alternating minimization problem by an alternative and iterative minimization process. Compared with the prior art, the present invention obtains a new direction-adaptive cost function by introducing local direction information into a maximum a posteriori algorithm, solves a problem of edges of an image restored by traditional TV regularization terms being blurred, and can restore images of complex blurring types or images with abundant textures.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.