Blind multichannel image deconvolution with regularization

@article{Souidne2004BlindMI,
  title={Blind multichannel image deconvolution with regularization},
  author={W. Souid{\`e}ne and K. Abed-Meraim and Azeddine Beghdadi},
  journal={Proceedings of the Fourth IEEE International Symposium on Signal Processing and Information Technology, 2004.},
  year={2004},
  pages={115-118}
}
Blind image deconvolution is a very active research field. It has been proved to be useful in many situations related with image processing: microscopy imaging, remote sensing and astronomical imaging. Several methods were developed in a single-channel framework. Unfortunately, these methods encounter some problems even in noiseless case. Recently, a Mutually Referenced Equalizers (MRE) method was proposed in a multichannel framework which ensures perfect Point Spread Functions (PSF) recovery… Expand

Figures and Tables from this paper

References

SHOWING 1-10 OF 18 REFERENCES
Multichannel blind iterative image restoration
Regularization of RIF blind image deconvolution
Perfect blind restoration of images blurred by multiple filters: theory and efficient algorithms
Exact image deconvolution from multiple FIR blurs
On-line blind multichannel equalization based on mutually referenced filters
Image quality measures and their performance
Video quality assessment based on structural distortion measurement
...
1
2
...