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- W1013013205 abstract "A hybrid Super Resolution (SR) algorithm is proposed to deal with the Low Resolution (LR) images degraded by Mixed (Gaussian + Impulse) noise. The algorithm adaptively estimates and removes the impulse noise from the input LR images based on edge, geometrical & size characteristics. The fuzzy based impulse noise removal algorithm is along with adaptive sharpening filter based SR using steering kernel regression are used to obtain a HR image. The experimental results confirm the efficacy of the algorithm for different types of images at various noise densities. General Terms Super Resolution, Mixed Noise, Surveillance applications," @default.
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- W1013013205 date "2015-07-18" @default.
- W1013013205 modified "2023-09-23" @default.
- W1013013205 title "Super Resolution Reconstruction in Mixed Noise Environment" @default.
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- W1013013205 doi "https://doi.org/10.5120/21594-4689" @default.
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