Descrizione del progetto
Nuovi metodi di imaging computerizzato consentono lo studio dei modelli di speckle nei materiali che diffondono la luce
In condizioni di luce coerente, i materiali che diffondono la luce creano immagini rumorose, generalmente note come speckle. Nonostante la loro natura apparentemente casuale, i modelli di speckle hanno forti proprietà di correlazione statistica che possono essere sfruttati per migliorare le tecniche di imaging. Tuttavia, la mancanza di adeguati strumenti di modellizzazione impedisce una comprensione completa delle proprietà di speckle. Il progetto SpeckleCorr, finanziato dall’UE, combinerà tecniche di visione artificiale e computer grafica per migliorare notevolmente la comprensione delle statistiche di speckle e ampliare significativamente la portata delle loro applicazioni. I metodi proposti saranno in grado di misurare la correlazione di speckle direttamente, al contrario dei tradizionali metodi che prima acquisiscono le immagini di speckle e poi stimano le correlazioni in una fase di post-elaborazione.
Obiettivo
When viewed under coherent imaging conditions (e.g. laser illumination), scattering materials such as biological tissues create noise-like images known as speckle. Despite their seemingly random nature, speckle patterns have strong statistical correlation properties that are highly informative of the material producing them. These can be used to enable remarkable imaging capabilities, not possible with current state of the art, for example seeing through highly scattering layers.
Unfortunately, realizing these in practical settings (tissue imaging, fluorescence microscopy) remains a challenge. Research efforts are hindered by a lack of modeling tools, resulting in an incomplete understanding of speckle properties.
This project aims to use computational techniques from computer vision and computer graphics to greatly enhance our understanding of speckle statistics, and significantly expand the scope of their applications.
To this end, the project will explore algorithmic tools newly-developed by the PI that can accurately and efficiently simulate speckle patterns, to formulate better models of speckle formation.
We will exploit our new understanding to develop new types of computational imaging systems that can directly measure speckle correlation, rather than the traditional pipeline where one captures speckle images and estimates their correlations algorithmically in post-processing.
Finally, we will exploit these tools in multiple computational imaging applications, including: (i) Acquiring material parameters: estimating the type, size and density of particles composing a material of interest. (ii) Imaging fluorescent sources deep inside scattering tissue. (iii) Adaptive optics imaging.
Potential impact is anticipated in numerous areas
where speckle-based imaging techniques hold promise, including medicine (increased depth penetration of tissue imaging techniques) and material fabrication and analysis (accurate characterization of scattering materials).
Campo scientifico
Programma(i)
- HORIZON.1.1 - European Research Council (ERC) Main Programme
Argomento(i)
Meccanismo di finanziamento
HORIZON-AG - HORIZON Action Grant Budget-BasedIstituzione ospitante
32000 Haifa
Israele