Super-resolution mosaicking of unmanned aircraft system (UAS) surveillance video using levenberg marquardt (LM) algorithm

Authors:
Aldo Camargo;Richard R. Schultz;Qiang He
Affiliations:
Department of Electrical Engineering, University of North Dakota, Grand Forks, ND;Department of Electrical Engineering, University of North Dakota, Grand Forks, ND;Department of Mathematics, Computer and Information Sciences, Mississippi Valley State University, Itta Bena, MS
Venue:
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part I
Year:
2010

Citing 9
Cited 0

Improving resolution by image registration

CVGIP: Graphical Models and Image Processing
Multichannel stochastic image models: theory, applications, and implementations

Multichannel stochastic image models: theory, applications, and implementations
Numerical Recipes in C: The Art of Scientific Computing

Numerical Recipes in C: The Art of Scientific Computing
Efficient Super-Resolution and Applications to Mosaics

ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
Recognising Panoramas

ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
A Performance Evaluation of Local Descriptors

IEEE Transactions on Pattern Analysis and Machine Intelligence
Improving the Performance of Hyperspectral Image and Signal Processing Algorithms Using Parallel, Distributed and Specialized Hardware-Based Systems

Journal of Signal Processing Systems
Fast and robust multiframe super resolution

IEEE Transactions on Image Processing
Joint Registration and Super-Resolution With Omnidirectional Images

IEEE Transactions on Image Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Unmanned Aircraft Systems (UAS) have been used in many military and civil applications, particularly surveillance. One of the best ways to use the capacity of a UAS imaging system is by constructing a mosaic of the recorded video. This paper presents a novel algorithm for the construction of superresolution mosaicking. The algorithm is based on the Levenberg Marquardt (LM) method. Hubert prior is used together with four different cliques to deal with the ill-conditioned inverse problem and to preserve edges. Furthermore, the Lagrange multiplier is compute without using sparse matrices. We present the results with synthetic and real UAS surveillance data, resulting in a great improvement of the visual resolution. For the case of synthetic images, we obtained a PSNR of 47.0 dB, as well as a significant increase in the details visible for the case of real UAS frames in only ten iterations.