[Digikam-devel] GSOC 2013 Computational Photography Proposal

[Gilles Caulier]

Hi,

I think b) proposal is very interresting. In fact it fully relevant on GImc
project which is listed in official projects list :

http://community.kde.org/GSoC/2013/Ideas#Project:_Port_Greystoration_CImg_interface_to_GMic

If you take a look to GMic announcement for last release 1.5.5.1 of
library, b) is already implemented :

http://linuxfr.org/news/traitement-d-image-sortie-de-g-mic-1-5-5-1

Sorry this announcement is in French. Use google translations to switch in
English.

The advantage to use Gmic is to be able to use in the future a huge
colection of algorithms to play with images.

Best

Gilles Caulier


2013/4/17 Siddharth <siddharthkherada27 at gmail.com>

> 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
> KDE/Digikam this summer in a GSoC project.
>
> Some of my own ideas:
>
> a) *Interactive Poisson Image Editing*
>
> 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 gray/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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