@inproceedings{adbe73f5bd164ed2bdf68f470d2d44d6,
title = "Super-resolution images from blurred observations",
abstract = "In this paper, we present a technique for generating a high-resolution image from a blurred image sequence. The image sequence consists of decimated, blurred and noisy versions of the high-resolution image. The high-resolution image. The high-resolution resolution image is modeled as a Markov random field, and a maximum a posteriori estimation technique is used for image restoration. A fast algorithm based on Fast Fourier Transforms (FFTs) is derived to solve the resulting linear system. Numerical examples are given to illustrate the effectiveness of the method.",
keywords = "Circulant matrix, Fourier transform, High-resolution, Image reconstruction, Regularization",
author = "Yau, \{Andy C.\} and Ng, \{Michael K.\}",
year = "2003",
month = dec,
day = "24",
doi = "10.1117/12.505015",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
pages = "328--335",
editor = "Luk, \{Franklin T.\}",
booktitle = "Advanced Signal Processing Algorithms, Architectures, and Implementations XIII",
address = "United States",
note = "Advanced Signal Processing Algorithms, Architectures, and Implementations XIII : Optical Science and Technology - SPIE's 48th Annual Meeting ; Conference date: 06-08-2003 Through 08-08-2003",
}