This paper presents a restoration method using several degraded observed images obtained through a technique known as microscanning. It is shown that microscanning provides sufficient spatial information for image restoration with minimal information about the original image and without knowing the interference function that causes degradation.
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Jose L. LOPEZ-MARTINEZ, Vitaly KOBER, "Blind Adaptive Method for Image Restoration Using Microscanning" in IEICE TRANSACTIONS on Information,
vol. E95-D, no. 1, pp. 280-284, January 2012, doi: 10.1587/transinf.E95.D.280.
Abstract: This paper presents a restoration method using several degraded observed images obtained through a technique known as microscanning. It is shown that microscanning provides sufficient spatial information for image restoration with minimal information about the original image and without knowing the interference function that causes degradation.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E95.D.280/_p
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@ARTICLE{e95-d_1_280,
author={Jose L. LOPEZ-MARTINEZ, Vitaly KOBER, },
journal={IEICE TRANSACTIONS on Information},
title={Blind Adaptive Method for Image Restoration Using Microscanning},
year={2012},
volume={E95-D},
number={1},
pages={280-284},
abstract={This paper presents a restoration method using several degraded observed images obtained through a technique known as microscanning. It is shown that microscanning provides sufficient spatial information for image restoration with minimal information about the original image and without knowing the interference function that causes degradation.},
keywords={},
doi={10.1587/transinf.E95.D.280},
ISSN={1745-1361},
month={January},}
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TY - JOUR
TI - Blind Adaptive Method for Image Restoration Using Microscanning
T2 - IEICE TRANSACTIONS on Information
SP - 280
EP - 284
AU - Jose L. LOPEZ-MARTINEZ
AU - Vitaly KOBER
PY - 2012
DO - 10.1587/transinf.E95.D.280
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E95-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2012
AB - This paper presents a restoration method using several degraded observed images obtained through a technique known as microscanning. It is shown that microscanning provides sufficient spatial information for image restoration with minimal information about the original image and without knowing the interference function that causes degradation.
ER -