I recently got a challenging job from my professor, that I needed to solve in 24 HOURS. I failed. I realized the problem was not as straight forward. The problem was a color image restoration problem.
Image Restoration for grayscale images works just fine. We have lot of tools and even matlab has readymade functions for it.
However for color images the equation is not that simple. In addition to all the correlation and noise and blurring, we have interdependence between channels.
So it turns out that we need to consider correlation across channels while inverting the process.
I did find a few papers but again the math was very involved and no matlab function is avialable for color images to implement those papers. So its obvious that either the methods are not computer efficient or they are not universally applicable to a wide gamut of images.
I shall edit this post when I get more links and answers to this problem.
Suggestions please?
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5 comments:
Hmm .. not too sure what you mean by "channels" ( I am from communications background and my mind will invariably think of channels in a very different way than you intend :)) .... Looks very interesting problem to me .. and if you can clarify a teeny bit on what you mean by channel.. I will have some more idea :)
I forgot to ask ... can you upload a link of one paper?
http://ieeexplore.ieee.org/iel5/10231/32630/01527820.pdf the paper
http://ivpl.ece.northwestern.edu/Research/old/other_rest.html
http://adsabs.harvard.edu/abs/1989ITASS..37..415G
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