GSOC 2013 Proposal
siddharth kherada
siddharthkherada27 at gmail.com
Wed Apr 10 07:49:22 EDT 2013
any comments?
On Tuesday, 9 April 2013 17:40:45 UTC+5:30, siddharth kherada wrote:
>
> Thanks for the feedback.
>
> a) I want to point out that the domain transform filter is better than
> bilateral filter and can be used in various applications in which bilateral
> filter is used.
>
> b) Image denoising using non-local means method. Is this already
> implemented?
>
>
> http://inf.ufrgs.br/~eslgastal/AdaptiveManifolds/Gastal_Oliveira_SIGGRAPH2012_Adaptive_Manifolds.pdf
>
> c) Some Image Debluring techniques:
>
> 1) Deblur image using blind deconvolution
> 2) Deblur image using Lucy-Richardson method
> 3) Deblur image using regularized filter
> 4) Deblur image using Wiener filter
>
> What is your opinion about the above techniques?
>
> Best Regards,
> Siddharth
>
> On Tuesday, 9 April 2013 17:01:15 UTC+5:30, Stefan van der Walt wrote:
>>
>> Hi Siddharth
>>
>> On Tue, Apr 9, 2013 at 11:32 AM, siddharth kherada
>> <siddharth... at gmail.com> wrote:
>> > I am currently pursuing MS by Research in the field of image processing
>> at
>> > IIIT- Hyderabad, India. I am interested in working for Scikit-image
>> this
>> > summer in a GSoC project.
>>
>> Thanks for getting in touch. Both these algorithms are cute, and
>> we'll consider PRs for them if they come in, but I don't think they
>> are major underlying parts of the library we'd want to spend a GSoC
>> on. If you are interested in this sort of thing, image deconvolution
>> may be more relevant. For GSoC, we'd like to implement algorithms
>> that will be useful across a wide array of disciplines, if possible.
>>
>> Also, we require that students who would like to participate in GSoC
>> first make other contributions to the project, so be sure to look at
>> the list of tickets and try to fix some of them, at a minimum.
>>
>> Regards
>> Stéfan
>>
>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/scikit-image/attachments/20130410/e4d38f56/attachment.html>
More information about the scikit-image
mailing list