Nacionalni portal odprte znanosti

Compressed sensing is a recent set of mathematical results showing that sparse signals can be exactly reconstructed from a small number of linear measurements. Interestingly, for ideal sparse signals with no measurement noise, random measurements allow perfect reconstruction while measurements based ...

Low level vision addresses the issues of labeling and organizing image pixels according to scene related properties - such as motion, contrast, depth and reflectance. I will describe our attempts to understand low-level vision in humans and machines as optimal inference given the statistics of the wo ...

I will discuss blind deconvolution algorithms that have been successfully used in the field of communications for several decades and how they can be adapted to the problem of blind deconvolution of images. This yields algorithms that can be rigorously shown to recover the correct blur kernel under ...