Video enhancement on an adaptive image sensor

The high density pixel sensors of the latest imaging systems provide images with high resolution, but require long exposure times, which limit their applicability due to the motion blur effect. Recent technological advances have lead to image sensors that can combine in real-time several pixels together to form a larger pixel. Larger pixels require shorter exposure times and produce high-frame-rate samples with reduced motion blur. This work proposes ways of configuring such a sensor to maximize the raw information collected from the environment, and methods to process that information and enhance the final output. In particular, a super-resolution and a deconvolution-based approach, for motion deblurring on an adaptive image sensor, are proposed, compared and evaluated.