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Spectral pre-adaptation for two-step arbitrary-shape-support image restoration

AutorDong, Chaoqun; Portilla, Javier
Palabras claveExtrapolation
Spectral models
Circular boundary condition problem
Arbitrary boundary conditions
Image restoration
Fecha de publicación18-sep-2017
EditorInstitute of Electrical and Electronics Engineers
CitaciónICIP (2017)
ResumenIn recent years, boundary problems associated to image restoration have attracted the attention of imaging scientists. We explore here the case of arbitrary boundary shapes (like blurred-background images), starting from a general discussion and advancing towards realist conditions, with simulations and real photographic images. We describe our Spectral-Pre-Adaptation (SPA) method, and compare it to the successful unconstrained boundary conditions Alternating Direction Method of Multipliers (UBC ADMM) method. Preliminary results indicate that SPA, combined with efficient restoration algorithms, such as Constrained Dynamic L2-relaxed L0, may set the new state-of-the-art, in performance and computational terms, for this kind of problems.
Descripción2017 IEEE International Conference on Image Processing, China National Convention Center in Beijing, China, 17-20 September 2017. -- http://2017.ieeeicip.org/
Aparece en las colecciones: (CFMAC-IO) Comunicaciones congresos
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