[Bf-committers] GSOC 2013 Proposal

[Siddharth]

Should I go ahead and submit the application?

Best Regards,
Siddharth


On Wed, Apr 17, 2013 at 6:42 PM, Xavier Thomas <xavier.thomas.1980 at gmail.com
> wrote:

> A good starting  place for poisson based image manipulation in Blender
> would be the Inpaint node.
>
>
> 2013/4/15 Ton Roosendaal <ton at blender.org>
>
> > Hi Siddharth,
> >
> > All three proposals are very cool, but quite more suitable for GIMP than
> > for Blender. For GIMP such filters can well live locally as a plugin. In
> > Blender it means to think in the context of tools and usablity. Where
> would
> > you add this, and how then have users interact?
> >
> > -Ton-
> >
> > ------------------------------------------------------------------------
> > Ton Roosendaal  Blender Foundation   ton at blender.org    www.blender.org
> > Blender Institute   Entrepotdok 57A  1018AD Amsterdam   The Netherlands
> >
> > On 12 Apr, 2013, at 5:25, Siddharth wrote:
> >
> > > Hi,
> > >
> > > I am currently pursuing MS by Research in the field of computer vision
> > and
> > > image processing at IIIT- Hyderabad, India. I am interested in working
> > for
> > > Blender organization this summer in a GSoC project.
> > >
> > >
> > > Some of my own ideas:
> > >
> > > a) *Interactive Poisson Image Blending*
> > >
> > > Image editing tasks concern either global changes (color/intensity
> > > corrections, filters, deformations) or local changes concerned to a
> > > selection. Here we are interested in achieving local changes, ones that
> > are
> > > restricted to a region manually selected (ROI), in a seamless and
> > > effortless manner. The extent of the changes ranges from slight
> > distortions
> > > to complete replacement by novel content. Examples:Inserting objects,
> > Color
> > > Transfer, Feature Exchange, Texture Flattening, Local illumination
> > changes,
> > > etc.
> > >
> > >
> >
> http://cs.engr.uky.edu/~jacobs/classes/2010_photo/readings/PoissonImageEditing.pdf
> > >
> > > b) *Color2Gray*
> > >
> > > Visually important image features often disappear when color images are
> > > converted to grayscale. This algorithm reduces such losses by
> attempting
> > to
> > > preserve the salient features of the color image. The Color2Gray
> results
> > > offer viewers salient information missing from previous grayscale image
> > > creation methods.
> > >
> > > http://www.cse.cuhk.edu.hk/~leojia/papers/decolorization_iccp12.pdf
> > >
> > > c) *Domain Transform for Edge-Aware Image Processing
> > > (Non-Photorealistic Animation and Rendering)*
> > >
> > > The processing involves high-quality edge-preserving filtering of
> images
> > > (better than bilateral filter). The filter is applied on several image
> > > processing tasks including edge-preserving smoothing, Depth-of-field
> > > effects, stylization, detail enhancement, edge enhancement and
> > pencil/color
> > > pencil sketch.
> > >
> > >
> >
> http://www.inf.ufrgs.br/~eslgastal/DomainTransform/Gastal_Oliveira_SIGGRAPH2011_Domain_Transform.pdf
> > >
> > > What are your views about this?
> > >
> > > Best Regards,
> > > Siddharth
> > >
> > > --
> > > Live as if you were to die tomorrow. Learn as if you were to live
> > forever -
> > > M K Gandhi
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Live as if you were to die tomorrow. Learn as if you were to live forever -
M K Gandhi