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A Noise-Suppressing and Edge-Preserving Multiframe Super-Resolution Image Reconstruction Method

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dc.creator Maiseli, Baraka J.
dc.creator Ally, Nassor
dc.creator Gao, Huijun
dc.date 2016-09-09T09:49:37Z
dc.date 2016-09-09T09:49:37Z
dc.date 2015
dc.date.accessioned 2018-03-27T08:53:01Z
dc.date.available 2018-03-27T08:53:01Z
dc.identifier Maiseli, B.J., Ally, N. and Gao, H., 2015. A noise-suppressing and edge-preserving multiframe super-resolution image reconstruction method. Signal Processing: Image Communication, 34, pp.1-13.
dc.identifier http://hdl.handle.net/20.500.11810/3690
dc.identifier 10.1016/j.image.2015.03.001
dc.identifier.uri http://hdl.handle.net/20.500.11810/3690
dc.description Super-resolution technology is an approach that helps to restore high quality images and videos from degraded ones. The method stems from an ill-posed minimization problem, which is usually solved using the L2 norm and some regularization techniques. Most of the classical regularizing functionals are based on the Total Variation and the Perona–Malik frameworks, which suffer from undesirable artifacts (blocking and staircasing). To address these problems, we have developed a super-resolution framework that integrates an adaptive diffusion-based regularizer. The model is feature-dependent: linear isotropic in flat regions, a condition that regularizes an image uniformly and removes noise more effectively; and nonlinear anisotropic near boundaries, which helps to preserve important image features, such as edges and contours. Additionally, the new regularizing kernel incorporates a shape-defining parameter that can be automatically updated to ensure convexity and stability of the corresponding energy functional. Comparisons with other methods show that our method is superior and, more importantly, can achieve higher reconstruction factors.
dc.language en
dc.publisher Elsevier
dc.subject Convex optimization
dc.subject Super-resolution
dc.subject Backward diffusion
dc.subject Regularization
dc.title A Noise-Suppressing and Edge-Preserving Multiframe Super-Resolution Image Reconstruction Method
dc.type Journal Article, Peer Reviewed


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