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Michela received her Master Degree in Mathematics from the University of Trento, Italy. She is currently researcher at the Research Unit Technologies of Vision of Fondazione Bruno Kessler of Trento, Italy. Her research interests include automatic object recognition, image retrieval, semantic image labeling, color constancy, color correction, and low-level image processing. From 2014, Michela collaborates with the research Unit IRIS (FBK-CMM) on hardware-oriented computer vision topics.
Michela took part to the program committee of many editions of Applied Computing Machine Symposia, and carries on a reviewing activity for several international conferences. She is a member of the International Association for Pattern Recognition - Associazione Italiana per la ricerca in Computer Vision, Pattern recognition e machine Learning IAPR - CVPL (ex GIRPR) and of the Gruppo Italiano del Colore - Associazione Italiana Colore (GdC-AIC).
In 2015-2016 Michela led a Research in Pairs with the University of Trento, Department of Mathematics, and the University of Milano, Department of Computer Science. "Research in Pairs" is a program of FBK-CIRM, that promotes the collaboration among different research centers and/or university on topics mainly related to Mathematics. The research in pairs involving Michela focuses on the development of variational models for estimating the human color sensation. The main findings of this research have been published on JOSA A and on IEEE TIP
In March 2017, Michela presented a Tutorial on Retinex theory at the 6th Computational Color Imaging Workshop (Milano, Italy) .
In September 2017, Michela, along with her colleagues at IRIS, participated at the Notte dei Ricercatori and presented some outcomes of the EU Project FORENSOR (Visione Intelligente a Basso Consumo / Ecco la telecamera anti-crimine!).
Michela was a co-organizer of the Workshop "Mathematics for Computer Vision" (MCV 2018), hosted by FBK - ICT on February 15-16, 2018.
Michela is a Guest Editor of the Special Issue on J. of Imaging Image Enhancement, Modeling and Visualization. The call for paper is published on the journal website, deadline on August 12, 2018 (EXTENDED!).
Michela, Lecca; Carla Maria Modena, ; Alessandro, Rizzi,Using pixel intensity as a self-regulating threshold for deterministic image sampling in Milano Retinex: the T-Rex algorithm,in «JOURNAL OF ELECTRONIC IMAGING»,vol. 27,n. 1,2018, pp. 1 -12
Lecca, Michela; Simone, Gabriele; Bonanomi, Cristian; Rizzi, Alessandro,in «IET IMAGE PROCESSING»,vol. 12,n. 6,2018, pp. 833 -849
Lecca, Michela; Rizzi, Alessandro; Gianini, Gabriele,in «CULTURA E SCIENZE DEL COLORE / COLOR CULTURE AND SCIENCE»,vol. 9,2018, pp. 55 -64
Gottardi, Massimo; Lecca, Michela,Proceedings of 2018 IEEE International Symposium on Circuits and Systems (ISCAS),2018, (2018 IEEE International Symposium on Circuits and Systems (ISCAS),Florence, Italy,27-30 May 2018)
Lecca, Paola; Lecca, Michela; Caldrer, Sara; Baruzzi, Anna; Melotti, Paola; Sorio, Claudio,CORVO: A software tool for computing volume of complex biological structures in medical images and videos,Book of Abstracts - SIAM I&S,2018, pp. 159-159, (SIAM Conference on Imaging Science,Bologna - Italy,June, 5-8 2018)
Lecca, Michela; Simone, Gabriele; Rizzi, Alessandro,Milano Retinex Paths as Local Minima of an Energy Functional with Tunable Color and Spatial information,Book of Abstracts - SIAM I&S,2018, pp. 177-177, (SIAM Conference on Imaging Science,Bologna - Italy,June, 5-8 2018)
Lecca, Michela; Da Pos, Osvaldo,2018
Simone, Gabriele; Cordone, Roberto; Serapioni, Raul Paolo; Lecca, Michela,On Edge-Aware Path-based Color Spatial Sampling for Retinex: from Termite Retinex to Light Energy-driven Termite Retinex,in «JOURNAL OF ELECTRONIC IMAGING»,vol. 26,n. 3,2017
Lecca, Michela; Rizzi, Alessandro; Serapioni, Raul P.,in «JOURNAL OF THE OPTICAL SOCIETY OF AMERICA. A, OPTICS, IMAGE SCIENCE, AND VISION»,vol. 34,n. 4,2017, pp. 513 -522
Lecca, Michela; Rizzi, Alessandro; Serapioni, Raul Paolo,in «IEEE TRANSACTIONS ON IMAGE PROCESSING»,vol. 26,n. 6,2017, pp. 2767 -2780