Restoration of Color Images Degraded by Space-Variant Motion Blur

  • Michal Šorel
  • Jan Flusser
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4673)


We propose an algorithm for restoration from multiple color images degraded by camera motion blur. We consider the special case when the camera moves in one plane perpendicular to the optical axis without any rotations. The algorithm needs to know neither camera motion nor camera parameters. The proposed algorithm belongs to the group of variational methods that estimate simultaneously sharp image and depth map, based on the minimization of a cost functional. Feasibility of the algorithm is demonstrated by two experiments with real images.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Banham, M.R., Katsaggelos, A.K.: Digital image restoration. IEEE Signal Processing Mag. 14(2), 24–41 (1997)CrossRefGoogle Scholar
  2. 2.
    Chambolle, A., Lions, P.: Image recovery via total variation minimization and related problems. Numer. Math. 76(2), 167–188 (1997)MATHCrossRefMathSciNetGoogle Scholar
  3. 3.
    Šroubek, F., Flusser, J.: Multichannel blind iterative image restoration. IEEE Trans. Image Processing 12(9), 1094–1106 (2003)CrossRefGoogle Scholar
  4. 4.
    Rajagopalan, A.N., Chaudhuri, S.: An MRF model-based approach to simultaneous recovery of depth and restoration from defocused images. IEEE Trans. Pattern Anal. Machine Intell. 21(7) (1999)Google Scholar
  5. 5.
    Favaro, P., Burger, M., Soatto, S.: Scene and motion reconstruction from defocus and motion-blurred images via anisothropic diffusion. In: Pajdla, T., Matas, J(G.) (eds.) ECCV 2004. LNCS, vol. 3021, pp. 257–269. Springer, Heidelberg (2004)Google Scholar
  6. 6.
    Šorel, M.: Multichannel Blind Restoration of Images with Space-Variant Degradations. PhD thesis, Charles University in Prague (submitted, 2007)Google Scholar
  7. 7.
    Tschumperlé, D., Deriche, R.: Diffusion PDE’s on vector-valued images. IEEE Signal Processing Mag. 19(5), 16–25 (2002)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Michal Šorel
    • 1
  • Jan Flusser
    • 1
  1. 1.Institute of Information Theory and Automation, Academy of Sciences of the Czech Republic, Pod Vodárenskou věží 4, 182 08 Praha 8Czech Republic

Personalised recommendations