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On-sensor Image Processing
We develop processing algorithms for an innovative ultra-low power high dynamic range color sensor in collaboration with FBK's immaging sensors R&D unit IRIS.
We collaborate with the Research Unit IRIS of Center for Materials & Microsystems (FBK) in order to develop new smart low power vision sensors, that embed image processing algorithms, such as the transformation of the standard RGB signal to a differen color space suitable for further applications, and color normalization with respect to the illuminant, to mention a few.
This hardware-software co-development is applied to provide a less noised signal and thus a more reliable signal processing with energy saving capabilities.
M. Rusci, D. Rossi, M. Lecca, M. Gottardi, E. Farella, L. Benini: An Event-Driven Ultra-Low-Power Smart Visual Sensor, IEEE Sensors Journal, 13(16):5344-5353, 2016
M. Lecca, M. Gottardi, E. Farella, B. Milosevic: An always-on low power optical system for skin-based touchless machine control, Journal of the Optical Society of America A - Optics Image Science and Vision, 6(33):1015-1024, 2016
M. Rusci, D. Rossi, M. Lecca, M. Gottardi, L. Benini, E. Farella: Energy-efficient design of an always-on smart visual trigger, IEEE International Smart Cities Conference - ISC2, Trento, Italy, pp 1-6, September 2016
A. Berkovich, M. Lecca, L. Gasparini, P. Abshire, M. Gottardi: A 30 µW 30 fps 110 × 110 Pixels Vision Sensor Embedding Local Binary Patterns, IEEE Journal of Solid-State Circuits, Vol. 50, no 9, pp. 2138-2148, 2015
O.A. Olumodeji, D. Giordani, M. Lecca, M. Gottardi: Estimating Illuminant Chromaticity with a Low-Power Color Sensor. XVIII AISEM Annual Conference, Trento, Italy, 3-5 February 2015
M. Lecca, L. Gasparini, M. Gottardi: Ultra-low Power High-dynamic Range Color Pixel Embedding RGB to r-g Chromaticity Transformation. Proceedings SPIE Photonics Europe, Vol. 9141, Brussels, Belgium, 14-17 April 2014