@InProceedings{7760495,
  author = {J. Deguignet and A. Ferrari and D. Mary and C. Ferrari},
  booktitle = {2016 24th European Signal Processing Conference (EUSIPCO)},
  title = {Distributed multi-frequency image reconstruction for radio-interferometry},
  year = {2016},
  pages = {1483-1487},
  abstract = {The advent of enhanced technologies in radio interferometry and the perspective of the SKA telescope bring new challenges in image reconstruction. One of these challenges is the spatio-spectral reconstruction of large (Terabytes) data cubes with high fidelity. This contribution proposes an alternative implementation of one such 3D prototype algorithm, MUFFIN (MUlti-Frequency image reconstruction For radio INterferometry), which combines spatial and spectral analysis priors. Using a recently proposed primal dual algorithm, this new version of MUFFIN allows a parallel implementation where computationally intensive steps are split by spectral channels. This parallelization allows to implement computationally demanding translation invariant wavelet transforms (IUWT), as opposed to the union of bases used previously. This alternative implementation is important as it opens the possibility of comparing these efficient dictionaries, and others, in spatio-spectral reconstruction. Numerical results show that the IUWT-based version can be successfully implemented at large scale with performances comparable to union of bases.},
  keywords = {astronomical image processing;image reconstruction;radiotelescopes;radiowave interferometry;spectral analysis;wavelet transforms;SKA telescope;spatio-spectral reconstruction;MUFFIN;3D prototype algorithm;distributed multifrequency image reconstruction for radio INterferometry;spectral analysis;spatial analysis;primal dual algorithm;invariant wavelet transform;Image reconstruction;Signal processing algorithms;Inverse problems;Optimization;Transforms;Signal processing;Algorithm design and analysis},
  doi = {10.1109/EUSIPCO.2016.7760495},
  issn = {2076-1465},
  month = {Aug},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2016/papers/1570252317.pdf},
}

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One of these challenges is the spatio-spectral reconstruction of large (Terabytes) data cubes with high fidelity. This contribution proposes an alternative implementation of one such 3D prototype algorithm, MUFFIN (MUlti-Frequency image reconstruction For radio INterferometry), which combines spatial and spectral analysis priors. Using a recently proposed primal dual algorithm, this new version of MUFFIN allows a parallel implementation where computationally intensive steps are split by spectral channels. This parallelization allows to implement computationally demanding translation invariant wavelet transforms (IUWT), as opposed to the union of bases used previously. This alternative implementation is important as it opens the possibility of comparing these efficient dictionaries, and others, in spatio-spectral reconstruction. Numerical results show that the IUWT-based version can be successfully implemented at large scale with performances comparable to union of bases.","keywords":"astronomical image processing;image reconstruction;radiotelescopes;radiowave interferometry;spectral analysis;wavelet transforms;SKA telescope;spatio-spectral reconstruction;MUFFIN;3D prototype algorithm;distributed multifrequency image reconstruction for radio INterferometry;spectral analysis;spatial analysis;primal dual algorithm;invariant wavelet transform;Image reconstruction;Signal processing algorithms;Inverse problems;Optimization;Transforms;Signal processing;Algorithm design and analysis","doi":"10.1109/EUSIPCO.2016.7760495","issn":"2076-1465","month":"Aug","url":"https://www.eurasip.org/proceedings/eusipco/eusipco2016/papers/1570252317.pdf","bibtex":"@InProceedings{7760495,\n author = {J. Deguignet and A. Ferrari and D. Mary and C. Ferrari},\n booktitle = {2016 24th European Signal Processing Conference (EUSIPCO)},\n title = {Distributed multi-frequency image reconstruction for radio-interferometry},\n year = {2016},\n pages = {1483-1487},\n abstract = {The advent of enhanced technologies in radio interferometry and the perspective of the SKA telescope bring new challenges in image reconstruction. One of these challenges is the spatio-spectral reconstruction of large (Terabytes) data cubes with high fidelity. This contribution proposes an alternative implementation of one such 3D prototype algorithm, MUFFIN (MUlti-Frequency image reconstruction For radio INterferometry), which combines spatial and spectral analysis priors. Using a recently proposed primal dual algorithm, this new version of MUFFIN allows a parallel implementation where computationally intensive steps are split by spectral channels. This parallelization allows to implement computationally demanding translation invariant wavelet transforms (IUWT), as opposed to the union of bases used previously. This alternative implementation is important as it opens the possibility of comparing these efficient dictionaries, and others, in spatio-spectral reconstruction. Numerical results show that the IUWT-based version can be successfully implemented at large scale with performances comparable to union of bases.},\n keywords = {astronomical image processing;image reconstruction;radiotelescopes;radiowave interferometry;spectral analysis;wavelet transforms;SKA telescope;spatio-spectral reconstruction;MUFFIN;3D prototype algorithm;distributed multifrequency image reconstruction for radio INterferometry;spectral analysis;spatial analysis;primal dual algorithm;invariant wavelet transform;Image reconstruction;Signal processing algorithms;Inverse problems;Optimization;Transforms;Signal processing;Algorithm design and analysis},\n doi = {10.1109/EUSIPCO.2016.7760495},\n issn = {2076-1465},\n month = {Aug},\n url = {https://www.eurasip.org/proceedings/eusipco/eusipco2016/papers/1570252317.pdf},\n}\n\n","author_short":["Deguignet, J.","Ferrari, A.","Mary, D.","Ferrari, C."],"key":"7760495","id":"7760495","bibbaseid":"deguignet-ferrari-mary-ferrari-distributedmultifrequencyimagereconstructionforradiointerferometry-2016","role":"author","urls":{"Paper":"https://www.eurasip.org/proceedings/eusipco/eusipco2016/papers/1570252317.pdf"},"keyword":["astronomical image processing;image reconstruction;radiotelescopes;radiowave interferometry;spectral analysis;wavelet transforms;SKA telescope;spatio-spectral reconstruction;MUFFIN;3D prototype algorithm;distributed multifrequency image reconstruction for radio INterferometry;spectral analysis;spatial analysis;primal dual algorithm;invariant wavelet transform;Image reconstruction;Signal processing algorithms;Inverse problems;Optimization;Transforms;Signal processing;Algorithm design and analysis"],"metadata":{"authorlinks":{"ferrari, a":"https://bibbase.org/show?bib=https%3A%2F%2Fdl.dropboxusercontent.com%2Fs%2F08x8gl6pjbfmq4j%2Fmonbibconf.bib"}},"downloads":0},"search_terms":["distributed","multi","frequency","image","reconstruction","radio","interferometry","deguignet","ferrari","mary","ferrari"],"keywords":["astronomical image processing;image reconstruction;radiotelescopes;radiowave interferometry;spectral analysis;wavelet transforms;ska telescope;spatio-spectral reconstruction;muffin;3d prototype algorithm;distributed multifrequency image reconstruction for radio interferometry;spectral analysis;spatial analysis;primal dual algorithm;invariant wavelet transform;image reconstruction;signal processing algorithms;inverse problems;optimization;transforms;signal processing;algorithm design and analysis"],"authorIDs":["TKmMmXLcb4B7nAhiz"],"dataSources":["5ngH9z7sNEXFuGxfN","Hs65vgcBNDGRfdk65","koSYCfyY2oQJhf2Tc","JiQJrC76kvCnC3mZd","HyYEFgnaZtMYzaLMm","QGarsWMXjQquh3nCS","Y2th4McXMc4bqpCSP","zAKdmQyHNJMS6u4Ro","K8TMZoacXG3xk7ctR","wPWpZDjqhigZhfDNJ","DP4MmoG6FBYB2oqRB","XSzrKiMA8tcC4G9rK","ynpivNjaZ6Mj6nBGK","QMscJiFkrYXb7J3FY","EZxfCK9iDdA6LvEfX","SXe3sACxwxxqweymc","B7nH6nTpzuxodSjAw","r8oWb8YXQq4uqatek","ZbgFzD3B2twuBQiGX","mW3c3sk92Bow6GzfY","wJxWfbrHvA8h43Gmc","d52c6TvF4WaPzpixi","ugYgZxbp5tX9Wbbm3","5u6wtdTmXpwAEYXbp","W4Qj5xqSDWkDrZnzH","ffj3JirExoKsFn683","ikjjYPNRe5EkTCEa4","CrTRgP2CED44bokzX","es8w72pQjPJm3LZcw","EWqHmjh7xKaaQYCGS","xoe6E7WDyGNNp3yrN","heRwj6qfm92qL5KFs","uwEXBSXT4HLbjQnSM","ogoA6sdQbFNs8Gdm6","FfqfhjdysZCin49bn","3tLZxiuBEb52Zmk6E","bqa5STFuMQNJjTotg","EJimueciMZgazd3r8","Z7aCzBaN5YmHcywko","v94fKhgLaf4xMFZXN","k7Fw79tzSZqYLdwSb","XAZeucMmcYmtwELMf","YWAkYR84qGMNndsoZ","H8C9nKZe7Snk4E7mt","ZX674iYQovBwS8fsf","peeCwPZamdf3Q6Mze","pFe7igKfZgufpEM4j","nwt8ebqcpF2gMa2e7","xpmeyXtszhncLAwii","CCykXPXC7zoM94jSH","zNBgYs4aQDEoDi4LQ","dgQhMCbS6fBf7teQa","otsx7wa94CKpaQPry","jMGEzpAZuJcdNmuND","Jp8Zc4CJkv5GB9Xzp","j4KyEBkb8RDnX5o6s","8hJrEmkFBJGjCCYLf","9H7FYuMpkCLoes2rL","FPKYCsmNij3btACo2","wkZvzmKbsw6adxLoS","sk8S3MyKkkRWHyFrY","vECiTBQTd8Qre985H","XTH4DdMfp2P3JKwZc","hPDsmxyhTNaQjMG2o","9GwQCiPD23M23TTvg","Sr7azQcps2Qz5FHaM","GuN3bHokAskz7BoKe","dZeSGbbyt7986ABdi","7xjs6ioWrks68RYR2","t5RL8oiooJWDGQy8j","rrmwKKJbtEdeqeMxH","jE5KsX6dgWuL44NHA","fuo5DDiarp6m2aQDi","oWmaHBRbnJe6tmFiz","XBgfaXMTyCgD89D47","D8cwwRS5dqmNKZeaL","oy2BeAabqixmwbav9","amTqzLdFnAeuYCPm9","TX9NHxtnjTzmDXJ7E","hFgj5ZwK4kr8Xy2p8","8qMnTJjXZbnQmLNyZ"]}