Computational imaging

Computational imaging is becoming widely adopted in consumer products to reconstruct high quality pictures from raw pixel data provided by special optics and image sensors. This forum will provide details of such systems. We will commence with an overview of computational photograpy and imaging. This is followed by object recognition and tracking techniques including interesting point techniques and face detection algorithms optimized for cameras. Camera array techniques, multiple shot techniques and coded aperture techniques for improved resolution and extended depth of field will be presented. The popular compressed sensing technique is also covered with the aim to reduce data rate without severely impacting image quality. Lastly, existing implementation on parallel processing architecture will be introduced.

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