[Bf-committers] Super-sampling and anti-aliasing

[raulf at info.upr.edu.cu]

Hello :)

  Thanks for your will to improve Blender, sampling algorithms are always
wellcome, and a really nice adition to the Blender toolbox though not
many people realize their importance at first sigth.

  I would like to help you if no one with more skills have the time to do so

   feel free to contact me at raulf at info.upr.edu.cu

                                        Regards  Farsthary

> Dear all,
>
> I posted the message below to the  Academic & Research list, where I
> was advised to post here.
>
> I am a computer graphics professor and one of my areas of expertise is
> sampling. I have recently designed a family of new supersampling
> approaches (better kernels) and found them to work very well in my own
> prototype. The resulting images are sharper and less aliased than
> those obtained with standard kernels such as box, tent,
> mitchell-netravali, catmull-rom etc. The downside is that noise can
> become more apparent if present.
>
> The implementation is not particularly complicated, and it was a
> simple matter to modify pbrt-v2 to support these new kernels. As the
> next step, I decided to implement them in Blender, figuring that this
> would benefit a larger audience. In the process, I have been somewhat
> confused with what I can infer from Blender's source-code.
>
> Is there a kind and soul reading this list who is interested in this
> topic, knows a bit about the workings of Blender, and available to
> exchange a few words with me? It seems as though it may be possible to
> improve Blender's sampling even disregarding my own research efforts.
>
> Kind regards,
> Tev
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