After hard work, the SIDISO project is proud to produce the first data processing of the projet from the JWST data. The images have been produced by luigiz the Super-Resolution and deconvolution algorithm1, written by François Orieux. The algorithm is the results of the research published here, followed by a lot of subsequent developments.

The main objective of such work is to improve the spatial resolution of the images. We will describe later in more details what has been done. The two images belows are obtained with the F770W, F1000W, F1130W and F2100W filters.

More works are necessary to improve the results, like models evolution, algorithms adaptation, or tests. Raw data will be made available soon. Stay tuned…

Mean of the four filters homogenized at the resolution of F2100W filter of JWST MIRI data observing NGC628.
Mean of the four filters homogenized at the resolution of F2100W of JWST MIRI data observing NGC628.
Mean of the four filters of JWST MIRI data observing NGC628 processed by SIDISO's Super-Resolution and deconvolution algorithm `luigiz`.
Mean of the four filters of JWST MIRI data observing NGC628 processed by SIDISO’s Super-Resolution algorithm luigiz.

F. Orieux, on behalf of the SIDISO team.

  1. available when ready ↩

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