A subpixel motion estimation algorithm based on digital correlation for illumination variant and noise image sequences

Optik

Volumn 120, Issue 16, 2009, Pages 835-844

  Chen, Yi nan ^a   Jin, Wei qi ^a   Zhao, Lei ^a   Li, Fu wen ^a  

^a Science and Technology University   (China)

Author keywords

Digital correlation; Illumination variation; Noise; Subpixel motion estimation (registration); Taylor gradient

Indexed keywords

ACTUAL EXPERIMENTS; APPROXIMATED SOLUTIONS; CLOSED FORM; CORRELATION COEFFICIENT; CROSS CORRELATIONS; DIGITAL CORRELATION; FIRST-ORDER; GRADIENT BASED; ILLUMINATION VARIATION; IMAGE NOISE; MOTION ESTIMATES; MOTION VARIABLES; MOTION VECTORS; NOISE CORRUPTION; NOISE IMAGE; NOISE LEVELS; NOISE VARIANCE; SUBPIXEL MOTION ESTIMATION; SUBPIXEL REGISTRATION; SUBPIXEL TRANSLATION;

COMPUTER SIMULATION; CORRELATION METHODS; ESTIMATION; SPURIOUS SIGNAL NOISE;

MOTION ESTIMATION;

EID: 71249134612     PISSN: 00304026     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijleo.2008.03.018     Document Type: Article

References (14)

1. Kuglin C.D., and Hines D.C. The phase correlation image alignment method. Proc. IEEE Int. Conf. Cybernetics Soc. (1975) 163-165
2. Schuler J., Scribner D., and Kruer M. Super Resolution Imagery From Multi-Frame Sequences With Random Motion[R] (1998), Naval Research Laboratory, Washington, DC AD/A400605
3. Parker J.A., Kenyon R.V., and Droxel D.E. Comparison of interpolating methods for image resampling. IEEE Trans. Med. Imaging MI-2 1 (1983) 31-39
4. Castleman K.P. Digital Image Processing (1996), Prentice-Hall Publishing Comp., New Jersey pp. 111-112
5. Foroosh H., and Zerubia J.B. Extension of phase correlation to subpixel registration. IEEE Trans. Image Process. 11 3 (2002) 188-199
6. Ojansivu V., and Heikkila J. Image registration using blur-invaiant phase correlation. IEEE Signal Process. Lett. 14 7 (2007) 449-452
7. Hardie R. High resolution reconstruction from a sequence of rotated and translated motion. Opt. Eng. 37 1 (1998) 247-260
8. Erdem C.E., and Erdem T. An illumination invariant algorithm for subpixel accuracy image stabilization and its effect on MPEG-2 video compression. Signal Process.: Image Commun. 16 (2002) 837-857
9. Zhang J., Jin G., Ma S., et al. Application of an improved subpixel registration algorithm on digital speckle correlation mearsurement. Opt. Laser Technol. 35 (2003) 533-542
10. Dvorchenko V.N. Bounds on (deterministic) correlation functions with applications to registration. IEEE Trans. Pattern Anal. Machine Intell 5 2 (1983) 206-213
11. Tian Q., and Hunhns M.N. Algorithm or subpixel registration. Comput. Vis. Graph. Image Process. 35 (1986) 220-223
12. Kim S.P., and Su W.Y. Subpixel accuracy image registration by spectrum cancellation. Proc. ICASSP 00 (1993) 153-156
13. Koc U., and Liu K.J.R. Interpolation-free subpixel motion estimation techniques in DCT domain. IEEE Trans. Circuits Syst. Video Technol. 8 (1998) 60-487
14. Bernstein C.A., Kanal L.N., Lavin D., et al. A geometric approach to subpixel registration accuracy. Comput. Vis. Graph. Image Process. 40 (1987) 334-360