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

[Axel Krebs]

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

--- Comment #6 from Axel Krebs <axel.krebs at t-online.de> ---
Dear Gotham:

Maybe you still work on this issue?

As I found several hits in this context recently, I assume, finding
sharp/unsharp pics automatically could be a technologgy of the future.

Recent article in a leading German computer paper:
http://www.heise.de/ct/inhalt/2013/18/68/ "Verwackelkandidate" (meaning
"de-unsharp-utitility")

Others.
- http://www.heise.de/download/image-analyzer-1121815.html
- http://logicnet.dk/Analyzer/
I guess, you'll keepo track with relevant developments?

All the best



Axel

Am 31.03.2013 13:44, schrieb Gowtham Ashok:
> https://bugs.kde.org/show_bug.cgi?id=279544
> 
> Gowtham Ashok <gwty93 at gmail.com> changed:
> 
>            What    |Removed                     |Added
> ----------------------------------------------------------------------------
>                  CC|                            |gwty93 at gmail.com
> 
> --- Comment #4 from Gowtham Ashok <gwty93 at gmail.com> ---
> I have used a concept similar to autofocus in the code.
> Better Explanation:
> http://www.howstuffworks.com/autofocus3.htm
> 
> Yes, after image is taken, we do not have any data about the distance of the
> camera from the subject(that is why we have to use passive autofocus).
> 
> Sharp or blurry is somewhat subjective. There are also cases where the
> photographer intended to give a blur effect, or while taking a shot of a
> fast-moving object.
> http://img.ehowcdn.com/article-new/ehow/images/a05/ah/vv/fast-f1-car_-800x800.jpg
> 
> So, if we can take care of this, we can probably have a useful image
> classification algorithm.
> We can also combine this with face detection algorithm to give better output.
>

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