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PhD on Fast Single-Pixel Imaging (Oct. 2017—Sept. 2020, Lyon, France)
The biomedical imaging laboratory CREATIS opens a PhD fellowship to address new questions in the emerging field of single-pixel imaging.
Context
CREATIS is a research unit of Lyon University devoted to medical imaging. Its different teams target various modalities (X-rays, Ultrasounds, MRI, PET and optics) and carry research from signal processing to medical applications.
Project
Recent advances in signal processing have made it possible to design new digital imaging systems. Single-pixel imaging is a new paradigm that enables two-dimensional imaging from a point detector [1]. It has raised increasing attention because it allows high-performance optical imaging systems (e.g., hyperspectral and/or time-of-flight measurements) at very low cost [2]. Single-pixel cameras comprise a single point detector that is coupled with a spatial light modulator. By performing a sequence of optical measurements for different modulation patterns, it is possible to recover the image of the observed scene provided that ad-hoc restoration algorithms are implemented [3]. The main goal of this project is to demonstrate the feasibility of fast single-pixel imaging. In particular, we will focus on the development of adaptive acquisition-reconstruction approaches, which are a fast alternative to compressed sensing, as demonstrated in a recent publication by our team [4].
Work Plan
First, the successful PhD candidate will generalise the in-house adaptive method developed for static image to video recovery. State-of-the-art algorithms for video recovery will be implemented and compared to the adaptive approach. Second, the successful candidate will focus on motion estimation techniques that can improve the ability to predict one frame from the knowledge of previous frames, which can be used to reduce the number of measurements per frame, and hence increase the imaging speed. Applications to biomedical imaging will be considered.
Salary
1450€ net monthly (+ possible teaching hours)
Skills
The student must have a strong background in computer science, signal and image processing. Programming skills: Matlab, C, C++.
How to apply?
Send your curriculum and academic records to
Nicolas Ducros nicolas.ducros@creatis.insa-lyon.fr
Françoise Peyrin francoise.peyrin@creatis.insa-lyon.fr
References
[1] M. Duarte et. al, “Single-pixel imaging via compressive sampling, “IEEE Signal Processing Magazine,” vol. 25, no. 2, pp. 83—91, Mar. 2008.
[2] M.-J. Sun et. al, “Single-pixel three-dimensional imaging with time-based depth resolution”, Nature Communications, vol. 7, p. 12010, Jul. 2016.
[3] R. G. Baraniuk et. al, “Compressive video sensing: Algorithms, architectures, and applications, IEEE Signal Processing Magazine”, vol. 34, no. 1, pp. 52—66, Jan 2017.
[4] F. Rousset et. al, “Adaptive basis scan by wavelet prediction for single-pixel imaging,” IEEE Transactions on Computational Imaging, vol. 3, no. 1, pp. 36—46, March 2017.