Exploring PSF engineering for enhanced FOV in computational imaging systems while overcoming practical constraints

Ritika Malik; Kedar Khare

doi:10.1117/12.3016707

18 June 2024 Exploring PSF engineering for enhanced FOV in computational imaging systems while overcoming practical constraints

Ritika Malik, Kedar Khare

Author Affiliations +

Proceedings Volume 12996, Unconventional Optical Imaging IV; 1299606 (2024) https://doi.org/10.1117/12.3016707
Event: SPIE Photonics Europe, 2024, Strasbourg, France

Abstract

This study explores the advancements in Computational Imaging (C.I.) systems, which transcend conventional imaging methodologies by integrating innovative hardware and reconstruction algorithms. Focusing on the challenge of balancing the field of view (FOV) and resolution in microscopy due to sensor size limitations, we have introduced the Multiple Point Impulse Response (MPIR) as a Point Spread Function (PSF) engineering technique aimed at extending the FOV in our previous work. Despite encountering scrambled images, the utilization of sparse recovery algorithms successfully reconstructs object information beyond the sensor’s active area. Additionally, increasing impulse density improves reconstruction quality, although practical sensor constraints, notably limited bit depth, impact contrast, and overall reconstruction quality. Here, we have shown that with a trade-off in image fidelity and data information content, it is possible to overcome the limitation imposed by the sensor bit-depth.

Conference Presentation

Citation Download Citation

Ritika Malik and Kedar Khare "Exploring PSF engineering for enhanced FOV in computational imaging systems while overcoming practical constraints", Proc. SPIE 12996, Unconventional Optical Imaging IV, 1299606 (18 June 2024); https://doi.org/10.1117/12.3016707

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