Compressive Sensing and Blind Image Deconvolution

In this paper, we summarize our recent results on simultaneous compressive sensing reconstruction and blind deconvolution of images, captured by a compressive imaging system introducing degradation of the captured scene by an unknown point spread function.

[1]  Aggelos K. Katsaggelos,et al.  Simultaneous Bayesian compressive sensing and blind deconvolution , 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

[2]  François-Xavier Le Dimet,et al.  Deblurring From Highly Incomplete Measurements for Remote Sensing , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[3]  Aggelos K. Katsaggelos,et al.  Compressive sampling with unknown blurring function: Application to passive millimeter-wave imaging , 2012, 2012 19th IEEE International Conference on Image Processing.

[4]  Venkatesh Saligrama,et al.  On compressed blind de-convolution of filtered sparse processes , 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

[5]  Aggelos K. Katsaggelos,et al.  Compressive Blind Image Deconvolution , 2013, IEEE Transactions on Image Processing.

[6]  Chinmay Hegde,et al.  Sampling and Recovery of Pulse Streams , 2010, IEEE Transactions on Signal Processing.

[7]  Alfred Mertins,et al.  Super-Resolution Model for a Compressed-Sensing Measurement Setup , 2012, IEEE Transactions on Instrumentation and Measurement.

[8]  Liang Xiao,et al.  Compounded Regularization and Fast Algorithm for Compressive Sensing Deconvolution , 2011, 2011 Sixth International Conference on Image and Graphics.

[9]  Chinmay Hegde,et al.  Compressive sensing of streams of pulses , 2009, 2009 47th Annual Allerton Conference on Communication, Control, and Computing (Allerton).