A super-resolution imaging method based on dense subpixel-accurate motion fields

Title:	A super-resolution imaging method based on dense subpixel-accurate motion fields
Authors:	Ha Vu Le Seetharaman, G
Keywords:	super-resolution motion compensation optical flow
Issue Date:	2006
Publisher:	SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
Citation:	ISIKNOWLEDGE
Abstract:	A super-resolution imaging method suitable for imaging objects moving in a dynamic scene is described. The primary operations are performed over three threads: the computation of a dense inter-frame 2-D motion field induced by the moving objects at a sub-pixel resolution in the first thread. Concurrently, each video image frame is enlarged by the cascode of an ideal low-pass filter and a higher rate sampler, essentially stretching each image onto a larger grid. Then, the main task is to synthesize a higher resolution image from the stretched image of the first frame and that of the subsequent frames subject to a suitable motion compensation. A simple averaging process and/or a simplified Kalman filter may be used to minimize the spatio-temporal noise, in the aggregation process. The method is simple and can take advantage of common MPEG-4 encoding tools. A few experimental cases are presented with a basic description of the key operations performed in the over all process.
Description:	JOURNAL OF VLSI SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY Volume: 42 Issue: 1 Pages: 79-89 Published: JAN 2006 ; TNS07731
URI:	http://link.springer.com/article/10.1007/s11265-005-4167-8 http://repository.vnu.edu.vn/handle/VNU_123/32118
ISSN:	0922-5773
Appears in Collections:	Bài báo của ĐHQGHN trong Web of Science