Two distributed algorithms for the deconvolution of large radio-interferometric multispectral images. Meillier, C., Bianchi, P., & Hachem, W. In 2016 24th European Signal Processing Conference (EUSIPCO), pages 728-732, Aug, 2016.
Two distributed algorithms for the deconvolution of large radio-interferometric multispectral images [pdf]Paper  doi  abstract   bibtex   
We address in this paper the deconvolution issue for radio-interferometric multispectral images. Whereas this problem has been widely explored in the recent literature for single images, a few algorithms are able to reconstruct multispectral images (three-dimensional images) [1], [2]. We propose in this paper two new distributed algorithms based on the optimization methods ADMM and projected gradient (PG) for the reconstruction of radio-interferometric multispectral images. We present an original distributed architecture and a comparison of their performance on a quasi-real data cube.

Downloads: 0