M. Georges | Laurent Jacques

Subsampling strategies for compressive Hadamard single-pixel imaging

Mon, 05 Oct 2026 00:00:00 +0000

Abstract: Single-pixel imaging (SPI) is a sensing technique that uses a single-pixel detector to acquire spatially resolved measurements of a scene. Compressive SPI reduces acquisition time by measuring only a fraction of the Hadamard patterns, with the sampling strategy strongly impacting the reconstruction quality. In this paper, we study SPI subsampling strategies, including popular approaches from the literature, and introduce a new strategy, called seeded intermediate subsampling, that achieves state-of-the-art performance at low sampling rates. Our experimental results on an SPI testbed validate these findings. Note: Date estimée (numéro 34(20)) ; DOI vérifié via HAL. Abstract à vérifier contre la version finale Optics Express.

Compressive spectral imaging in view of Earth observation applications

Thu, 14 Aug 2025 00:00:00 +0000

Abstract: Earth observation from space is an important scientific and industrial activity that has applications in many sectors. The instruments employed are often large, complex, and expensive. In addition, they generate large amounts of data, which is challenging for storage and transfer purposes. Compressive spectral imaging would be a cheaper, more efficient, and well-adapted technique to perform Earth observation. An interesting architecture is compressive spectral imaging with diffractive lenses, which is extremely compact. This work investigates the possibility of replacing the diffractive lens in this system with a classical refractive lens. Taking advantage of the chromatic aberration of a lens makes the use of expensive diffractive lenses unnecessary. Simulations are performed to test the feasibility of the method. Signal recovery is a basis pursuit solved using the Douglas-Rashford algorithm.

Compressive Spectral Imaging in View of Earth Observation Applications - Poster

Wed, 01 Jan 2025 00:00:00 +0000