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Color Processing

Main activities

Our research is concerned with estimating a color correction between images observing the same scene but acquired under different illuminants, viewpoints, and/or by different devices.

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.


  • 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
  • M. Rusci, D. Rossi, M. Lecca, M. Gottardi, E. Farella, L. Benini
    An Event-Driven Ultra-Low-Power Smart Visual Sensor
    IEEE Sensors Journal
  • M. Lecca, A. Rizzi and R. P. Serapioni
    GRASS: A Gradient-Based Random Sampling Scheme for Milano Retinex
    IEEE Transactions on Image Processing [doi]
  • M. Lecca, A. Rizzi and G. Gianini
    Energy-driven path search for Termite Retinex
    Journal of the Optical Society of America A, 33(1):31-39 (2016)
  • G. Simone, E. Cordone, R.P. Serapioni, M. Lecca
    On Edge-Aware Path-based Color Spatial Sampling for Retinex: from Termite Retinex to Light Energy-driven Termite Retinex
    SPIE Journal of Electronic Imaging
  • M. Lecca, O. Da Pos
    Communications and Comments
    Cultura e Scienza del Colore - Color Culture and Science, pp. 82-84, N. 6, 2016
  • 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 [doi]
  • M. Lecca and A. Rizzi
    Tuning the locality of filtering with a spatially weighted implementation of random spray Retinex
    Journal of the Optical Society of America A, 32(10):1876-1887 (2015)