A new multi-spectral image super-resolution reconstruction algorithm based on B-spline interpolation is presented. In order to take the advantages of both multi-frame and single-frame SR methods, B-spline interpolation SR method is proposed by considering sub-pixels of the images which have half-pixel difference with each other. Four B-spline curves are formed by the 12 points which are in the scope of the interpolation point, it take the mean of the midpoints as the value of the interpolation point. Furthermore, uniform B-spline has convexity-preserving property, the curve doesn't interpolate any control points, while two new control points are inserted between two adjacent control points, the points merge the old points to form a new set of control points. The B-spline curve generated by the new set of points includes all old control points, and the interpolating curve is convexity-preserving. This B-spline interpolation SR method can remove blurring and noise produced by the finite detector size and optic and add the image detail. The effectiveness of the proposed method is verified by comparing it against some conventional methods.

Date Published: 30 October 2009
PDF: 7 pages
Proc. SPIE 7494, MIPPR 2009: Multispectral Image Acquisition and Processing, 74940O (30 October 2009); doi: 10.1117/12.833949

Published in SPIE Proceedings Vol. 7494:
MIPPR 2009: Multispectral Image Acquisition and Processing
Faxiong Zhang; Faxiong Zhang, Editor(s)