NDLI: A high-efficiency edge-preserving Bayesian method for image interpolation

Content Provider	IEEE Xplore Digital Library
Author	Chuanbai Xiao Yanchao He Jing Yu
Copyright Year	2008
Description	Author affiliation: Coll. of Comput. & Sci. Technol., Beijing Univ. of Technol., Beijing (Chuanbai Xiao; Yanchao He; Jing Yu)
Abstract	Common interpolation methods such as bilinear and bicubic tend to smooth edges in the interpolated image. We propose a high-efficiency edge-preserving Bayesian method for image interpolation. In the proposed method, the problem of image interpolation can be expressed as a constrained optimization problem, where two keys of solving speed are how to obtain search direction and step length. We find a descent direction that has an analytic form and identify the step length using the Armijo rule, resulting in high-speed implementations. Experiment results show that this method guarantees the convergence rate of the solution and good visual quality of the interpolated image.
Starting Page	1042
Ending Page	1046
File Size	148297
Page Count	5
File Format	PDF
ISBN	9781424421787
DOI	10.1109/ICOSP.2008.4697307
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Bayesian methods Interpolation Image edge detection Constraint optimization Pixel Helium Educational institutions Partial differential equations Computational efficiency Image resolution
Content Type	Text
Resource Type	Article

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