[Bf-committers] GSOC 2013 Proposal
andreas_galster at hotmail.de
Fri Apr 12 09:09:13 CEST 2013
If you want to have sufficient grayscale conversion then I would recommend that you look at Photoshop's "Black and White" adjustment layer. A better grayscale conversion is nice to have, but ultimately isn't better if "better" is subjective. A grayscale conversion that doesn't give me control over the luminance and color levels will never work the way I want it to do. Photoshops's B&W adjustment layer let's you control the RGB/CMY "channels", which gives you great control over the B&W conversion.
> Date: Thu, 11 Apr 2013 23:35:25 -0600
> From: gavin.d.howard at gmail.com
> To: bf-committers at blender.org
> Subject: Re: [Bf-committers] GSOC 2013 Proposal
> Personally, I think some of those ideas may have some potential.
> However, I am not one of the developers, so I can't speak for them. If it
> turns out that they feel that these projects would not benefit Blender as
> much as they hope, I would suggest that you apply to work for the Open
> Source Computer Vision project. That might fit your field better, and you
> might have more fun. As a fellow GSoC student. I hope this helps. And
> regardless of what happens, welcome to Blender!
> God Bless,
> Gavin H.
> On Apr 11, 2013 9:25 PM, "Siddharth" <siddharthkherada27 at gmail.com> 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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