TY - JOUR
T1 - Super-resolution in practice
T2 - the complete pipeline from image capture to super-resolved subimage creation using a novel frame selection method
AU - Petrou, Maria
AU - Jaward, Mohamed H.
AU - Chen, Shengyong
AU - Briers, Mark
N1 - Copyright:
Copyright 2013 Elsevier B.V., All rights reserved.
PY - 2012/5
Y1 - 2012/5
N2 - We present a complete super-resolution system using a camera, that is assumed to be on a vibrating platform and continually capturing frames of a static scene, that have to be super-resolved in particular regions of interest. In a practical system the shutter of the camera is not synchronised with the vibrations it is subjected to. So, we propose a novel method for frame selection according to their degree of blurring and we combine a tracker with the sequence of selected frames to identify the subimages containing the region of interest. The extracted subimages are subsequently co-registered using a state of the art sub-pixel registration algorithm. Further selection of the co-registered subimages takes place, according to the confidence in the registration result. Finally, the subimage of interest is super-resolved using a state of the art super-resolution algorithm. The proposed frame selection method is of generic applicability and it is validated with the help of manual frame quality assessment.
AB - We present a complete super-resolution system using a camera, that is assumed to be on a vibrating platform and continually capturing frames of a static scene, that have to be super-resolved in particular regions of interest. In a practical system the shutter of the camera is not synchronised with the vibrations it is subjected to. So, we propose a novel method for frame selection according to their degree of blurring and we combine a tracker with the sequence of selected frames to identify the subimages containing the region of interest. The extracted subimages are subsequently co-registered using a state of the art sub-pixel registration algorithm. Further selection of the co-registered subimages takes place, according to the confidence in the registration result. Finally, the subimage of interest is super-resolved using a state of the art super-resolution algorithm. The proposed frame selection method is of generic applicability and it is validated with the help of manual frame quality assessment.
KW - Frame selection
KW - Image quality assessment
KW - Super-resolution
UR - http://www.scopus.com/inward/record.url?scp=84861678824&partnerID=8YFLogxK
U2 - 10.1007/s00138-010-0315-7
DO - 10.1007/s00138-010-0315-7
M3 - Article
AN - SCOPUS:84861678824
VL - 23
SP - 441
EP - 459
JO - Machine Vision and Applications
JF - Machine Vision and Applications
SN - 0932-8092
IS - 3
ER -