[Digikam-devel] [digikam] [Bug 279544] Tag image for unsharp pictures

[Axel Krebs]

https://bugs.kde.org/show_bug.cgi?id=279544

--- Comment #9 from Axel Krebs <axel.krebs at t-online.de> ---
Am 24.08.2013 13:44, schrieb Gowtham Ashok:
> https://bugs.kde.org/show_bug.cgi?id=279544
> 
> --- Comment #7 from Gowtham Ashok <gwty93 at gmail.com> ---
> Hello Axel,
> 
> Thanks for the links. Gilles, Marcel and me are working on adding this feature
> to digiKam.
> 
> For more information, please refer to
> http://www.google-melange.com/gsoc/proposal/review/google/gsoc2013/gwty/1
> 

Dear Gowtham:

My original intention reffered on blur- which comes more and more
objective.

NIKON advices certain techniques to reduce bluring effects see
<http://www.nikonusa.com/en_US/o/Y6wrkA9OU_z04IreazIXl_22UII/PDF/D800_TechnicalGuide_En.pdf>
for its Model D800 / D800 E.
(I own one- great machine, 36 MPixels ;-)! )

>From my fotographical practise, I experienced, that blur can be an
interesting effect. But, most of the time, we want or even need to avoid
this unsharpness type!

When having _real_ fotographic situations in mind, I feel, that _linear_
transitions ("mistakes, unsharpness effects") are _not_ the single
interesting ones.

There can be circular or bow-shaped transitions or others. Imagine, a
photographer stands in the wind and get hit by a gust of wind. Not
having a tripod because of weight limitations.

The movement of an imaginary pics point will then _not_ follow a line
nor a circle but rather more a _freely_ curved line.
---

Another type of mistake maybe related to the artefacts/mistakes, you
mentioned in your descriptive
http://www.google-melange.com/gsoc/proposal/review/google/gsoc2013/gwty/1

What happens, if some parts of a pic are too bright by far? Maybe there
is a way to reconstruct the brightness distribution around such a
brigthish area using neural network approaches for self learning
procedures, how "burned-out" areas can be filled according to surronding
areas? And still keep similar appearences compared to the surrounding areas?
--

I mention this idea to show, that I guess, the borderline between
filtering for quality and impoving is not a fixed line at all but needs
interpretation. Maybe numerical interpretation?

Besides, some number characteristics could help to concentrate on such
pics which are worth for improving techniques or- not.

Some further thoughts-


Yours Axel

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