Joint demosaicing and fusion of multiresolution coded acquisitions: A unified image formation and reconstruction method
Novel optical imaging devices allow for hybrid acquisition modalities such as compressed acquisitions with locally different spatial and spectral resolutions captured by a single focal plane array. In this work, we propose to model the capturing system of a multiresolution coded acquisition (MRCA) i...
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| creator | Picone, Daniele Mauro Dalla Mura Condat, Laurent |
| description | Novel optical imaging devices allow for hybrid acquisition modalities such as compressed acquisitions with locally different spatial and spectral resolutions captured by a single focal plane array. In this work, we propose to model the capturing system of a multiresolution coded acquisition (MRCA) in a unified framework, which natively includes conventional systems such as those based on spectral/color filter arrays, compressed coded apertures, and multiresolution sensing. We also propose a model-based image reconstruction algorithm performing a joint demosaicing and fusion (JoDeFu) of any acquisition modeled in the MRCA framework. The JoDeFu reconstruction algorithm solves an inverse problem with a proximal splitting technique and is able to reconstruct an uncompressed image datacube at the highest available spatial and spectral resolution. An implementation of the code is available at https://github.com/danaroth83/jodefu. |
| doi_str_mv | 10.48550/arxiv.2209.01455 |
| format | Article |
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| subjects | Algorithms Focal plane devices Image acquisition Image reconstruction Inverse problems Spectral resolution |
| title | Joint demosaicing and fusion of multiresolution coded acquisitions: A unified image formation and reconstruction method |
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