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• W2056527989 abstract "We present a novel hybrid scheme called hyper-resolution that integrates image probability-filtering-based interpolation and improved Poisson maximum a posteriori (MAP) super-resolution to respectively enhance high spatial and spatial-frequency resolutions of a single down-sampled image. A new approach to interpolation is proposed for simultaneous image interpolation and smoothing by exploiting the probability filter coupled with a pyramidal decomposition and the Poisson MAP super-resolution is improved with the techniques of edge maps and pseudo-blurring. Simulation results demonstrate that this hyper-resolution scheme substantially improves the quality of a single gray-level, color, or noisy image, respectively." @default.
• W2056527989 created "2016-06-24" @default.
• W2056527989 creator A5089636046 @default.
• W2056527989 date "2006-01-01" @default.
• W2056527989 modified "2023-10-16" @default.
• W2056527989 title "Improving a Single Down-Sampled Image Using Probability-Filtering-Based Interpolation and Improved Poisson Maximum A Posteriori Super-Resolution" @default.
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• W2056527989 doi "https://doi.org/10.1155/asp/2006/97492" @default.
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