DocumentCode :
1425083
Title :
Shift Estimation Algorithm for Dynamic Sensors With Frame-to-Frame Variation in Their Spectral Response
Author :
Giles, Todd M. ; Hayat, Majeed M. ; Krishna, Sanjay
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of New Mexico, Albuquerque, NM, USA
Volume :
10
Issue :
3
fYear :
2010
fDate :
3/1/2010 12:00:00 AM
Firstpage :
686
Lastpage :
692
Abstract :
This study is motivated by the emergence of a new class of tunable infrared spectral-imaging sensors that offer the ability to dynamically vary the sensor´s intrinsic spectral response from frame to frame in an electronically controlled fashion. A manifestation of this is when a sequence of dissimilar spectral responses is periodically realized, whereby in every period of acquired imagery, each frame is associated with a distinct spectral band. Traditional scene-based global shift estimation algorithms are not applicable to such spectrally heterogeneous video sequences, as a pixel value may change from frame to frame as a result of both global motion and varying spectral response. In this paper, a novel algorithm is proposed and examined to fuse a series of coarse global shift estimates between periodically sampled pairs of nonadjacent frames to estimate motion between consecutive frames; each pair corresponds to two nonadjacent frames of the same spectral band. The proposed algorithm outperforms three alternative methods, with the average error being one half of that obtained by using an equal weights version of the proposed algorithm, one-fourth of that obtained by using a simple linear interpolation method, and one-twentieth of that obtained by using a nai¿ve correlation-based direct method.
Keywords :
image sensors; infrared detectors; infrared imaging; optical information processing; coarse global shift estimate; dynamic sensor; frame-to-frame variation; shift estimation algorithm; spectral response; tunable infrared spectral imaging sensor; Filtering algorithms; Heuristic algorithms; Hyperspectral sensors; Infrared detectors; Infrared image sensors; Infrared spectra; Laboratories; Motion estimation; Quantum dots; Sensor arrays; Dot-in-a-well (DWELL) quantum-dot detectors; focal plane arrays; image registration; infrared; motion estimating; spectral imager;
fLanguage :
English
Journal_Title :
Sensors Journal, IEEE
Publisher :
ieee
ISSN :
1530-437X
Type :
jour
DOI :
10.1109/JSEN.2009.2037805
Filename :
5419259
Link To Document :
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