  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.
