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Reducing the impact of stroboscopic effect on the results of vehicles' plate recognition using super-resolution techniques by non-coherent camera triggering

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Języki publikacji
EN
Abstrakty
EN
The use of super-resolution algorithms can increase the resolution of image subject to further analysis in relation to the physical resolution of the camera recording the video sequence. A typical recording of such sequence is done with a fixed time interval (pre-determined number of frames per second). This can cause the shift of the plate image for subsequent frames by the total number of pixels, resulting in inability to take advantage of super-resolution algorithms that require shifts or rotations by a fractional part of pixels both vertically and horizontally. A possibility of reducing the impact of this effect by non-coherent triggering cameras is suggested in the paper.
Rocznik
Strony
19--24
Opis fizyczny
Bibliogr. 16 poz.
Twórcy
autor
autor
  • Faculty of Motor Transport, Higher School of Technology and Economics in Szczecin, Klonowica 14, 71-244 Szczecin, Poland, okarma@wste.szczecin.pl
Bibliografia
  • 1. KLEIN L.A., Sensor Technologies and Data Requirements for ITS. Artech House ITS library, Norwood, Massachusetts 2001.
  • 2. OKARMA K., MAZUREK P., Improved Register Plate Recognition Method Using Multiple Camera’s Image Fusion. Computer Systems Aided Science and Engineering Work in Transport, Mechanics and Electrical Engineering, pp. 453-458, Kazimierz Pułaski Technical University of Radom, 2008.
  • 3. IRANI M., PELEG S., Improving Resolution by Image Registration. Graphical Models and Image Processing, vol. 53, p. 231-239, 1991.
  • 4. IRANI M., PELEG S.: Super Resolution from Image Sequences. Proceedings of the 10th International Conference on Pattern Recognition, p. 115-120, June 1990.
  • 5. KEREN D., PELEG S., BRADA R., Image Sequence Enhancement Using Sub-Pixel Displacement. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, p. 742-746, June 1988.
  • 6. LUCCHESE L., CORTELAZZO G. M., A Noise-Robust Frequency Domain Technique for Estimating Planar Roto-Translations. IEEE Transactions on Signal Processing, vol. 48, no. 6, p. 1769-1786, June 2000.
  • 7. ZOMET A., RAV-ACHA A., PELEG S., Robust Super-Resolution. Proceedings of the International Conference on Computer Vision and Pattern Recognition (CVPR), vol. 1, p. 645-650, 2001.
  • 8. OKARMA K., The Influence of the Sampling Filter Function in the Super-Resolution Methods on the Accuracy of the Register Plates Recognition and the Visual Image Quality”. Logistyka no. 6/2009 (CD-ROM).
  • 9. OKARMA K., MAZUREK P., Automatic Image Quality Assessment of the Super-Resolution Images for the Register Plate Number Recognition. Logistyka no. 2/2010 p. 283-290 (in Polish).
  • 10. OKARMA K., MAZUREK P., The Analysis of the Super-Resolution Techniques for the Automatic Vertical Road Signs Recognition Systems. Logistyka no. 6/2009 (CD-ROM).
  • 11. WANG, Z., BOVIK, A., SHEIKH, H., SIMONCELLI, E., Image Quality Assessment: From Error Measurement to Structural Similarity. IEEE Transactions on Image Processing, vol. 13, no. 4, p. 600-612, 2004
  • 12. ESKICIOGLU A., FISHER P., CHEN S.: Image Quality Measures and Their Performance. IEEE Transactions on Communications, vol. 43 no. 12, p. 2959-2965, 1995.
  • 13. ESKICIOGLU A., Quality Measurement for Monochrome Compressed Images in the Past 25 Years. Proceedings of the IEEE International Conference on Acoustics Speech and Signal Processing, p. 1907-1910, Istanbul, Turkey 2000.
  • 14. LI X., Blind Image Quality Assessment. Proceedings of the IEEE International Conference on Image Processing, p. 449-452, Rochester, USA 2002.
  • 15. MARZILIANO, P., DUFAUX, F., WINKLER, S., EBRAHIMI, T., A No-Reference Perceptual Blur Metric. Proceedings of the IEEE International Conference on Image Processing, p. 57-60, Rochester, USA 2002.
  • 16. MEESTERS, L., MARTENS, J.-B.: A Single-Ended Blockiness Measure for JPEG-Coded Images. Signal Processing vol. 82 no. 3, p. 369-387, Elsevier 2002.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BSL8-0042-0004
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