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Joint demosaicing and fusion of multiresolution coded acquisitions: A unified image formation and reconstruction method

2022-09-03 · Daniele Picone, Mauro Dalla Mura, Laurent Condat

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.

📄 PDF Abstract BibTeX arXiv:2209.01455

Code (1)

danaroth83/jodefu 공식 구현

Tasks

DemosaickingImage Reconstruction

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