On Déja-Vu restoration and noise removal

Déja-Vu restoration is based on the linear and shift-invariant property of degradation. The resulting image is usually obtained from a known mechanism such as eye motion which is linear and shift-invariant plus the noise which is uncorrelated with the blurring process. The resoration is to implement the inverse of the degradation operator. Although it can be done using matrix inversion in spatial domain, the restoration is much more efficient with simple point by point algebraic operation in frequency domain. With the existence of noise, based on different criterion, different poetic approaches are midrange estimated....

In this short sequense, Sam Renseiw implements the Gaussian filter for spatial coherence and neighborhood pixel value homogeneity. OoolalaH! Enter and watch Sasha perform here or click on the blurr above. (01'45'', 4,4 MB, mov/quicktime ) //update 01.10.15