Ndagijimana, Adolphe
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Ndagijimana
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Adolphe
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Ingeniería Eléctrica, Electrónica y de Comunicación
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Publication Open Access Towards optimal binary patterns for compressive terahertz single-pixel imaging(IEEE, 2024-04-26) Ndagijimana, Adolphe; Ederra Urzainqui, Íñigo; Heredia Conde, Miguel; Ingeniería Eléctrica, Electrónica y de Comunicación; Ingeniaritza Elektrikoa, Elektronikoa eta Telekomunikazio IngeniaritzaTerahertz (THz) radiation's properties make it ideal for various imaging applications. However, creating simple, cost-effective, and high-resolution THz array detectors is challenging. Mechanical scanning is commonly used but creates a trade-off between frame rate and resolution. Fortunately, Compressive Sensing (CS) offers a solution by reducing the required number of measurements needed compared to Shannon-Nyquist's sampling theory. CS-THz imaging is usually implemented using a single-pixel camera with spatial modulation patterns, mostly binary patterns. However, the non-uniform and diffraction propagation present in the THz range affects the mutual coherence of the resulting sensing matrices resulting in image reconstruction degradation. In this paper, we introduce an optimization procedure for generating binary patterns that consider THz diffraction and non-uniform illumination of the mask. The produced sensing matrices exhibit low coherence compared to other typical binary sensing matrices, resulting in a higher reconstruction performance than all others.Publication Open Access Impact of diffraction on terahertz compressed sensing single-pixel imaging(IEEE, 2024) Ndagijimana, Adolphe; Ederra Urzainqui, Íñigo; Heredia Conde, Miguel; Ingeniería Eléctrica, Electrónica y de Comunicación; Ingeniaritza Elektrikoa, Elektronikoa eta Telekomunikazio IngeniaritzaTerahertz (THz) single-pixel imaging, through compressive sensing, enables sampling below Nyquist rates and bypasses the need for mechanical scanning and the limitation of availability of high-resolution cost-effective THz imaging array detectors off-the-shelf. This research investigates how diffraction phenomena affect THz single-pixel imaging and properties of sensing matrices, along with the sparse signal reconstruction process. We introduce a variety of strategies designed to mitigate the effects of diffraction, along with novel methods to counteract the disruptions caused by THz physics, thereby preserving the integrity of the original sensing matrix and improving signal recoverability. A comprehensive simulation study sheds light on the effects of diffraction on the sensing matrices and their impact on signal reconstruction. Our results highlight the importance of accurate diffraction minimization techniques and sophisticated modelling in enhancing THz imaging systems.Publication Open Access Performance evaluation of spatial modulation patterns in compressive sensing terahertz imaging(IEEE, 2022) Ndagijimana, Adolphe; Heredia Conde, Miguel; Ederra Urzainqui, Íñigo; Ingeniería Eléctrica, Electrónica y de Comunicación; Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio IngeniaritzarenTerahertz (THz) imaging traditionally uses pixel-to-pixel mechanical raster scanning, which is slow and limits the resolution and potential applications. Compressive Sensing Terahertz (CS-THz) imaging has the potential to solve these challenges by reducing the number of required measurements. However, there is an existing research gap between the current CS-THz implementations, which often use random binary masks without further consideration, and specialized Compressive Sensing works, which focus on RIP and coherence reduction but ignore the physics underlying THz wave propagation such as the effect of diffraction on masks patterns. This paper discusses and evaluates the use of low-coherence sensing matrices as mask patterns for CS-THz imaging. Although not previously used in THz imaging, Best Antipodal Spherical Code masks show the best image reconstruction performance among the considered alternatives. We also demonstrate the feasibility of phase-only modulation.