amirafsharmNov 28, 2023
Next speaker is Mike Davies talking about “Unsupervised Machine Imaging: when is data driven knowledge discovery really possible?”
#DIPOpt #inverseproblems #machinelearning #ComputationalImaging #CompressedSensing
Low Rank JackJul 18, 2023
Slides and abstract of my talk "Interferometric single-pixel imaging with a multicore fiber" made at ISCS23 (Luxembourg, June 12-14, 2023) now available at https://laurentjacques.gitlab.io/event/interferometric-single-pixel-imaging-with-a-multicore-fiber/ and https://laurentjacques.gitlab.io/publication/interferometric-single-pixel-imaging-with-a-multicore-fiber/ All this is based on the work of Olivier Leblanc. Long journal preprint version "Interferometric lensless imaging: rank-one projections of image frequencies with speckle illuminations" on https://arxiv.org /abs/2306.12698 in colaboration with S. Sivankutty, M. Hofer, H. Rigneault, #imaging #lensless #compressivesensing #computationalimaging #speckle #compressedsensing #InverseProblem (toot generated thanks to https://tootpick.org directly from my website)
Interferometric single-pixel imaging with a multicore fiber | Laurent Jacques

Abstract: Lensless illumination single-pixel imaging with a multicore fiber (MCF) is a computational imaging technique that enables potential endoscopic observations of biological samples at cellular scale. In this work, we show that this technique is tantamount to collecting multiple symmetric rank-one projections (SROP) of a Hermitian interferometric matrix – a matrix encoding the spectral content of the sample image.

Laurent Jacques