how to insert image in simulated annealing coding for image optimization

I got anneal.m source code from net.I am trying to take 2D image as input & by simulated annealing technique optimize that image. so please can any one tell me the procedure to do that....... thanking you

Réponses (1)

What does it mean to you to "optimize that image" ?
You really should complete your previous question first.

8 commentaires

Hmmm, that's a very interesting question you propose, Walter.
I would think that an optimized image is one that can tell you as much information as you could possibly need in the smallest size, largest sampling density, and lowest bit depth.
smallest sampling density*
thank you sean de,you have given correct meaning of optimization.
now can any one give me procedure for image optimization by simulated annealing.
Sean's suggestion refers to "as much information as you could possibly need", so the question then becomes: for _your_ purposes, what information do you need from the image?
I would also ask: is Sean's criteria really what you want? Or do you instead want to compress the image to the smallest possible size while still retaining the features of the image that are of relevance to you? If so, then again we would need to know what parts of it would be of relevance to _your_ purposes.
No i didn't want to compress the image but i simply want how to use simulated annealing algorithm to a 2d image please reply if you can..
thanks for replying.
Sorry, Prajyot, but I still get the impression that you have no clue what you are doing, and are still waiting for someone to tell you *some* meaningful way that you can apply the tool "simulated annealing" to the field of "image processing".
You have an image as input. What exactly do you want as output? A series of measurements? A new image? What exactly is to be measured, and what exactly is allowed to be changed for the goal of "optimizing" the measurements?
to give blurred image as input & to get original image as output
What *kind* of blur? Motion blur would be handled differently than gaussian blur, for example.
Is this an "image sharpening"? If so, see
http://www.mathworks.com/matlabcentral/newsreader/view_thread/66415
http://www.mathworks.com/help/toolbox/images/ref/fspecial.html#bqkft1z
http://www.mathworks.com/help/toolbox/vision/ug/f15164.html

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