[Digikam-devel] GSOC 2013 Computational Photography Proposal

[Siddharth]

Hi,

Are some of the algorithms in Gmic already ported to Digikam?

I was thinking of implementing the suggested techniques with the help of
OpenCV library.

Best Regards,
Siddharth


On Wed, Apr 17, 2013 at 7:31 PM, Gilles Caulier <caulier.gilles at gmail.com>wrote:

> 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
>>
>
>


-- 
Live as if you were to die tomorrow. Learn as if you were to live forever -
M K Gandhi
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