About me

About Me

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Who I am

I am a Professor of Electrical Engineering at Laboratoire Electronique, Informatique et Image - Le2i UMR 6306 in University of Burgundy, Dijon (France).

What I do

I am involved in research activities on Hardware design of smart vision systems and implementation of real-time image processing applications. My aim is to develop new smart imaging technology in which sensing and processing are integrated as closely as possible in order to achieve both low cost, low power and high processing capabilities.

My skills

Analog & Digital VLSI design of image sensors
Hardware design of smart cameras
Real-time image processing applications

One more thing

my resume


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research projects


Browse my current research projects.



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Some papers


Disseminating research findings to the scientific community !


Academic publishing is the process of placing the results of one's research into the scientific literature that can include the following kinds of publications : scientific journals, patents, books, conferences, …
A publication, also called a paper, contains original research results or reviews existing results. Before being accepted for publication, such a paper undergoes a process of peer review by one or more referees in order to check that the content of the paper is suitable for publication in the journal.

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Get some featured papers

For a full list of downloadable publications, check this link (last update on November 2014).


T. Tokzek et al., "Scene-based non-uniformity correction: From algorithm to implementation on a smart camera", Elsevier Journal of Systems Architecture, 59(10), 833-846, 2013.
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K. Jradi et al., "Multi-pixel Geiger mode imager for medical application ", Proceedings of Science, PoS(PhotoDet 2012)055, 2013.
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D. Ginhac et al., "A high speed programmable focal-plane SIMD vision chip", Analog Integrated Circuits and Signal Processing, 65(3), 389-398, 2010.
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P.J. Lapray et al., "HDR-ARtiSt: an adaptive real-time smart camera for high dynamic range imaging", Journal of Real-Time Image Processing, 1-16, 2014.
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P.J. Lapray et al., ""HDR-ARtiSt: High dynamic range advanced real-time imaging system", IEEE International Symposium on Circuits and Systems, 1428-1431, 2012.
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F. Hamdi et al., "Scene-based noise reduction on a smart camera", IEEE Inter. Conference on Electronics, Circuits and Systems, 560-563, 2012.
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W. Elhamzi et al., "Efficient smart-camera accelerator: A configurable motion estimator dedicated to video codec", Journal of Systems Architecture, 59(10), 870-877, 2013.
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J. Dubois et al., "A 10 000 frames/s CMOS Image Sensor with Massively Parallel Image Processing", IEEE Journal of Solid-State Circuits, 43(3), 706-717, 2008.
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S. Morfu et al., "Nonlinear Systems for Image Processing", In: Peter W. Hawkes, Editor(s), Advances in Imaging and Electron Physics, Elsevier, 152, 79-151, 2008.
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Some projects


About Smart Sensors


CMOS image sensors are becoming ubiquitous, due to reduced costs and increasing demands of multimedia applications, such as webcams, digital still cameras, mobile phones or tablets.

CMOS technology offers the flexibility to integrate signal and image processing inside the image sensor. With technology scales, image processing can be realized at chip level, at column level by dedicating processing elements to one or more columns, or even at pixel-level by integrating a specific processing unit in each pixel.

By exploiting the ability to integrate sensing with analog or digital processing, new types of CMOS imaging systems can be designed for machine vision, surveillance, medical imaging, motion capture, pattern recognition among other applications. This extends the basic concept of electronic camera on a chip proposed by E. Fossum to the more sophisticated concept of smart camera on a chip , also called smart vision chip, including image capture and processing.

Main projects

3D stacking technology


VerIDIS (2013-...) is a Vertically Integrated Digital Image Sensor. This recent project aims at designing a fully digital pixel sensor array, achieving an unprecedented density by moving all the electronic circuitry to different layers than the photodiodes themselves.

VerIDIS includes a standard CMOS image sensor layer, a per-pixel analog-to-digital converter layer and a fully digital layer (including a 10-bit memory and an array of processors), that are stacked vertically to form a prototype 3D-stacked image sensor.

				    			Photon-counTing Image sensor Architecture


CAPTIvA (2013-...) is an Asynchronous Photon-counTing Image sensor Architecture. This recent project investigates the design of smart image sensors based on Single-Photon Avalanche Diodes (SPAD), capable of single-photon sensitivity and precise photon timing.

CAPTIvA plans to use 3D-IC technology to design 1) highly sensitive detectors able to capture photons, and 2) new processing elements able to fully exploit the massively parallel stream of photons.

Main papers: POS-2013

High Speed Image Capture Sensor


HiSIC (2006-2010) is a High Speed Image Capture Sensor. HiSIC is a massively parallel SIMD vision chip dedicated to low-level image processing, including an array of 64 × 64 processing elements (PE). Each PE convolves the pixel values in a small neighborhood. The core invention is the dynamic reconfiguration of the convolution kernel masks between each capture, allowing the implementation of a wide range of low-level image processing algorithms.

Main papers: IEEE JSSC 2008, AICSP 2010

About Smart Cameras

The concept of Smart Camera is intimately linked to the notion of "intelligent camera", suggesting that a Smart Camera does a little more than simply capturing images.

The fundamental differences between a smart camera and a standard camera is that the primary functions of the smart camera are:
  1. Extraction of information from a captured scene,
  2. Production of a high-level understanding of the scene,
  3. Generation of application-specific data from this understanding.

In other words, a Smart Camera is ‘smart’ because it is an embedded vision system that performs application specific image processing, the goal of which is not to provide better quality images for human viewing but to understand and describe what is happening in the captured scene.

From a technological point of view, the fundamental differences between a smart camera and a standard camera is that a smart camera includes at least one special intelligent image processing unit (such as DSP, FPGA or ASIC) that runs specific image processing algorithms in order to extract information and knowledge from images.

Building smart cameras still remains a major challenge, requiring highly specialized skills in hardware (solid-state image sensors, optics, computer architecture) and in software (real-time operating systems, image processing algorithms).


Main projects

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We are in Dijon (France) on the very green environment of the campus of uB - University of Burgundy. Come on down and and see how we get things done.