Category: Available Projects

Image Reconstruction in Third-Harmonic Generation Microscopy

Available Projects

Type:  Master (semester project) Supervisor: Vasiliki Stergiopoulou (LCAV, Galatea) Contact: [email protected] Project Context: Third harmonic generation (THG) microscopy is a non-fluorescent multiphoton technique that enables three-dimensional imaging of refractive index differences. To obtain an accurate reconstruction, we tackle an optimization problem, minimizing a weighted combination of two terms. The first term ensures that reconstructions align (…)

Fabricating optics for lensless imaging (Assistant Etudiant, Summer 2023)

Available Projects

Keywords: Computational imaging, hardware prototyping, 3D printing. GitHub project page: https://github.com/LCAV/LenslessPiCam  Medium blog posts: https://go.epfl.ch/lenslesspicam Contact: Eric Bezzam Levels: Bachelor / Master Sections: IC, EE, ME, MT Description: Lensless imaging throws away centuries-old notions of taking pictures. By shifting the image formation from the lens to the digital post-processing, the constraints imposed by lenses (e.g. focusing (…)

Signal reconstruction using sparsity-promoting penalty over a redundant dictionary of wavelets

Available Projects

Contact: Adrian Jarret (LCAV) Synopsis: Comparison of analysis and synthesis formulations, solution of analysis formulation using cycle spinning with different wavelet basis, solution of synthesis formulation with adjoint of penalty operator and proximal gradient method, extension to weighted penalty. Level: Master (5-6 months) Sections: IC Description: Wavelet bases are known to produce sparse representations of (…)

Statistical Analysis of Sparse and Piecewise-linear Regression

Available Projects

Contact: Julien Fageot Levels: Master semester project, or Master thesis Sections: IC, EE, SMA Recent works have investigated the possibility of recovering continuous-domain signals from their discrete observations using sparsity-promoting variational methods. The resulting interpolation problem is then cast as a functional sparse inverse problem. In this project, we focus on piecewise-linear continuous-domain reconstruction, which is achieved by (…)