Blind deconvolution of video sequences

The study of dynamical phenomena require the acquisition of observation sequences with a very short exposure time. This results in low flux observations and therefore low signal to noise ratio. In addition, the imaging system inevitably introduces a blur that degrades the instrumental resolution observations.

Key idea(s)

The whole sequence being observed with the same instrument, one can assume that the blur varies slowly over time. With this assumption, we propose to use the entire sequence to constrain the PSF estimation.


Graphical user interface


This blind deconvolution method had proven his capability and robustness in three types of modality: coronarography, confocal microscopy and bright field microscopy.


Heterogeneous Multidimensional Data Deblurring
F. Soulez, E. Thiébaut, A. Gressard, R. Dauphin and S. Bongard, EUSIPCO, Lausanne, August, 2008. (pdf)
Blind deconvolution of video sequences
F. Soulez, E. Thiébaut, Y. Tourneur, A. Gressard and R. Dauphin, IEEE International Conference on Image Processing (ICIP), San Diego, October, 2008. (pdf,slides)