Single pixel camera: an acquisition strategy based on the non-linear wavelet approximation

Florian Rousset (1) , Nicolas Ducros (1) , Cosimo d'Andrea (2) , Françoise Peyrin (1, 3)

1 Imagerie Tomographique et Radiothérapie
2 Dipartimento di Fisica
3 ESRF - European Synchrotron Radiation Facility

Single pixel imaging opened the door to a cheaper camera architecture able to operate in a wide spectral range. Compressive sensing has been used with such an optical setup to reconstruct an image using 1-minimization. To avoid this type of reconstruction, we consider an adaptive approach leading to a direct restoration of an image and for which we propose a new acquisition strategy. Our technique allows one to acquire an image in the wavelet domain with a progressive non-linear acquisition strategy. This scheme is based on the non-linear approximation of the wavelet transform which takes advantage of the transformation's sparsity. This approximation is applied in a multiresolution way and is shown to offer high compression performance on simulated data. One application of the single pixel camera concerns time-resolved acquisition to observe fluorescence lifetime images of biological structures.

Domaines: Traitement du signal et de l'image [eess.SP]; Imagerie médicale; Optique [physics.optics]

Florian Rousset, Nicolas Ducros, Cosimo d'Andrea, Françoise Peyrin. Single pixel camera: an acquisition strategy based on the non-linear wavelet approximation. EMBC 2015, Aug 2015, Milan, Italy. ⟨hal-01217883⟩