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portfolio

Computational Photography: Compressive Imaging and Big Data Recovery

Published:

Coloquio Department of Informatics Universidad Técnica Federico Santa MAría, in this coloquio section four applications of computational photography are presented: Multispectral demosaicking, ultrafast video, phase retrieval, and Multispectral extended depth-of-field:

publications

Adaptive Multisensor Acquisition via Spatial Contextual Information for Compressive Spectral Image Classification.

Published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021

Recommended citation: N. Diaz, J. Ramirez, E. Vera and H. Arguello, “Adaptive Multisensor Acquisition via Spatial Contextual Information for Compressive Spectral Image Classification” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 9254-9266. 2021. [TechRxiv], [DOI], [Code].

Shuffled Rolling Shutter Camera

Published in Springer International Publishing, 2023

Recommended citation: E. Vera, F. Guzmán and N. Diaz, “Shuffled Rolling Shutter Camera,” Springer International Publishing, pp. 499-513, 2023. [DOI].

Space-time imaging

Published in Elsevier, 2026

Recommended citation: James Skowronek, Felipe Guzmán, Nelson Díaz, Esteban Vera and David Brady, “Space-time imaging,” Elsevier, Vol. 54, pp. 119-145, 2026. [DOI].

talks

Adaptive Coded Aperture Design by Motion Estimation using Convolutional Sparse Coding in Compressive Spectral Video Sensing

Published:

Recommended citation: N. Diaz, C. Noriega-Wandurraga, A. Basarab, J. -. Tourneret and H. Arguello. “Adaptive Coded Aperture Design by Motion Estimation using Convolutional Sparse Coding in Compressive Spectral Video Sensing” 2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2019 pp. 445-449. [Paper], [Link], [Slides].

teaching

Teaching Statement

Undergraduate and graduate, courses in electrical engineering and computer science, 2025

Teaching Philosophy and Experience

Computational Photography

Posgraduate course, Universidad Técnica Federico Santamaría, Campus Valparaíso, Department of Informatics, 2026

Summary

Computational imaging has diverse applications, such as in consumer electronics, medical and scientific imaging, microscopy, and remote sensing. Computational imaging aims to design new image formation systems—systems where measurement and reconstruction mechanisms are designed together. This course covers digital photography and digital image processing, convolutional neural networks applied to image processing, deconvolution, denoising, single-pixel cameras, inverse image acquisition problems, the proximal gradient method, an introduction to wave optics, end-to-end optimization, and advanced topics in artificial intelligence.