Wednesday, February 01, 2006

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

Labels: , , , ,


Blogger greenhorn said...

oh, what the hell.... rereading... still not with you. you like talking complicated, don´t you.
what for? does it have to do what the woman says? unfortunately i don´t understand her either...

what is the effect? diversion of the real thing

IMHO, staying with simplicity where things are simple, is more elegant but not necessarily simpler.

Saturday, February 04, 2006 11:07:00 pm  

Post a Comment

Links to this post:

Create a Link

<< Home