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Corchs Silvia

Ciclo: XXV

Indirizzo Mail:

Telefono: 02 6448 7856

Stanza: U14 - 1012

Titolo ricerca:Image Quality Assessment for digital documents

Brief biography

Silvia Corchs has a Master degree and a Ph.D in Physics, both from the University of Rosario (Argentina). She has been Research Scientist at the National Council for Research in Argentina (working in Theoretical Physics) and also Teaching Assistant at the University of Rosario. From 1999 to 2003 worked as Guest Scientist in the Computational Neuroscience Group of the Research Department of Siemens AG in Munich (Germany), where she focused on the study of the visual attention mechanism, implementing neurodynamical models. From 2003 to 2005 she joined the Imaging & Vision Laboratory (IVL) of the University of Milano Bicocca (Italy). From 2005 to 2007 she worked as Postdoc Scientist and Teaching Assistant  at the Vision and Perception Science Lab of the University of Ulm in Germany. In 2009 she joined again the IVL Lab of University Milano Bicocca where she works at present on image processing. She is devoted to image quality assessment methods. In particular she focus on the integration of the attentional models to the image processing field. She is co-author of more than 40 articles in international journals in the different field areas (Physics, Neuroscience, Image processing).

Research project

The aim of the PhD research project is the study and analysis of different objective image quality assessment methods (Full Reference, No-Reference and Reduced-Reference).Taking into account that the cognitive understanding and interactive visual processing (like for example eye movements)  influence the human perception of image quality, the focus of the research is the integration of objective quality metrics and the mechanisms associated to the visual attention process. Different bottom-up (saliency-based) and top-down models of visual attention will be considered  to be integrated with the quality metrics.


1) Contrast image correction method. R. Schettini, F. Gasparini, S. Corchs, F. Marini, A. Capra and A. Castorina, Journal of Electronic Imaging 19, 023005 (1-11)  (2010).

2) Underwater image processing: state of the art  of restoration and image enhancement methods. R. Schettini and S. Corchs, EURASIP Journal on Advances in Signal Processing 2010, Article ID 746052 (1-14) (2010).

3) Recall or precision oriented strategies for binary classification of skin pixels. F. Gasparini, S. Corchs and R. Schettini, Journal of Electronic Imaging 17, 023017 (1-15)  (2008).

4) Low Quality Image Enhancement Using Visual Attention. F. Gasparini, S. Corchs and R. Schettini, Optical Engineering letters 46, 040502 (1-3) (2007).

5) A recall or precision oriented skin classifier using binary combining strategies. F. Gasparini, S. Corchs and R. Schettini, Pattern Recognition 38, 2204-2207  (2005).

6) Investigation of input-output gain in dynamical systems for neural information processing.
S. Cardanobile, M.A. Cohen, S. Corchs, D. Mugnolo and H. Neumann, Mathematical Analysis of Evolution, Information and Complexity, Eds. Arend, Schleich, WILEY-VCH Verlag, 379-393  (2009).

7) Feature based attention in human visual cortex: simulation of fMRI data.  S. Corchs and G. Deco, NeuroImage 21, 36-45 (2004).

8) Systems-level neuronal modelling of visual attentional mechanisms.  S. Corchs, M. Stetter and G. Deco, Artificial Intelligence Review 20(1/2): 143-160, Kluwer Academic Publishers, (2003)

9) A neurodynamical model to simulate neural activities in visual attention experiments. S. Corchs and G. Deco, Neurocomputing 44-46, 759-767 (2002).

10) Large-scale neural model for visual attention: Integration of experimental single cell and fMRI data. S. Corchs and G. Deco, Cerebral Cortex 12, 339-348 (2002)

11) A neurodynamical model for selective visual attention using oscillators. S. Corchs and G. Deco, Neural Networks 14, 981-990 (2001).

12) Selective attention in visual search: a neural network of phase oscillators. S. Corchs and G. Deco, Neurocomputing 38-40 1151-1160 (2001).


Further readings
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