Given a convex function, there are a lot of methods that could be used to do the optimization, such as gradient decent, CG, primal dual method, PPA, Bregman Iteration, etc. But I am not clear that if there is a method which works in wavelet domain. If anyone knows something about it, please let me know. If you are interested by the topic, you can contact me by email, [email protected], and we can work on it together.
see for using optimization the problem shd be framed as an function first
then we can use any optimization tool. Whatever may be the domain u formulate the function first....then we can maximize or minimize
Sorry, what do you mean here? Let's say, we take the CVG model from Bresson et. al 2007 as an example. It is convex, and usually is solved by primal dual method or Bregmen Iteration. My question is how to solve the same model in wavelet domain. I want to use the multi scale property in wavelet. The idea is to transform the problem into wavelet domain, do optimization there and then do inverse transformation. Do you know any method that does the similar thing? Thanks!
The idea is to separate the original problem into many subproblem in multi bands in wavelet domain and solve them independently. I did not find any paper about this after google it. It would be cool if you have some reference in mind. Thanks!
I have some idea of using wavelets in image processing and have some papers on it will it be useful for u then i can send
I know wavelet a little bit. But are your papers about optimization by wavelet? It would be very nice if you send your papers. I would cite them if they are useful. My email [email protected]
No my papers are on image segmentation. But my supervisor has advised me to frame my segmentation problem as an optimization problem. U can search my papers using my name in IEEE
Sorry, can not find anything. Do you have a home page where I can check your research and download papers?
just type subrajeet mohapatra IEEE in google not in ieee explorer
- Badges
- Science topic
- Similar topics
- Engineering
- Electrical Engineering
- Signal Processing
- Image Processing