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• W2512967577 abstract "The single image super-resolution (SISR) problem represents a class of efficient models appealing in many computer vision applications. In this paper, we focus on designing a proximal symmetric alternating direction method of multipliers (SADMM) for the SISR problem. By taking full exploitation of the special structure, the method enjoys the advantage of being easily implementable by linearizing the quadratic term of subproblems in the SISR problem. With this linearization, the resulting subproblems easily achieve closed-form solutions. A global convergence result is established for the proposed method. Preliminary numerical results demonstrate that the proposed method is efficient and the computing time is saved by nearly 40% compared with several state-of-the-art methods." @default.
• W2512967577 created "2016-09-16" @default.
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• W2512967577 date "2016-08-15" @default.
• W2512967577 modified "2023-09-23" @default.
• W2512967577 title "Solving total-variation image super-resolution problems via proximal symmetric alternating direction methods" @default.
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• W2512967577 doi "https://doi.org/10.1186/s13660-016-1136-7" @default.
• W2512967577 hasPublicationYear "2016" @default.
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