@inproceedings{621e4d62adba4db881ca6c265266733d,
title = "MPMAP super-resolution image restoration algorithm based on multiframes or multisensors",
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.",
keywords = "Image processing, image restoration, maximum a posteriori (MAP), multiframes and multisensors, super-resolution, undersample",
author = "Binghua Su and Weiqi Jin",
note = "Publisher Copyright: {\textcopyright} 2017 SPIE.; Electronic Imaging and Multimedia Technology III 2002 ; Conference date: 14-10-2002 Through 18-10-2002",
year = "2002",
month = aug,
day = "30",
doi = "10.1117/12.481576",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
pages = "5--9",
editor = "LiWei Zhou and Chung-Sheng Li and Yoshiji Suzuki",
booktitle = "Electronic Imaging and Multimedia Technology III",
address = "United States",
}