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30 August 2002 MPMAP super-resolution image restoration algorithm based on multiframes or multisensors
Binghua Su, Weiqi Jin
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Proceedings Volume 4925, Electronic Imaging and Multimedia Technology III; (2002) https://doi.org/10.1117/12.481576
Event: Photonics Asia, 2002, Shanghai, China
Abstract
Using low-resolution (LR) multiframes from the same object with subpixel displacement to each other is a better solution for the high-resolution restoration of undersamped images. A super-resolution (SR) image restoration algorithm based on multiframes or multisensors is proposed for blurred, noisy and undersampled images. Poisson-MAP image restoration algorithm with Markov constraint (MPMAP) is used in the proposed approach. The high-resolution restored images are obtained, and the performances of the proposed approach are presented in the simulated experiments.
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Binghua Su and Weiqi Jin "MPMAP super-resolution image restoration algorithm based on multiframes or multisensors", Proc. SPIE 4925, Electronic Imaging and Multimedia Technology III, (30 August 2002); https://doi.org/10.1117/12.481576
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KEYWORDS
Image restoration
Point spread functions
Super resolution
Lawrencium
Image fusion
Signal to noise ratio
Imaging systems
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