Digikam: Difference between revisions

Revision as of 14:55, 15 February 2011

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View, manage, edit, enhance, organize, tag, and share photographs.

DigiKam supports import of photos from cameras, creation of albums, tagging with dates, subjects and other properties, and excellent search facilities. Please consult the manual for full details, including picture formats supported.

Managing your Photos

Album View
Timeline View
View Exif information
Geolocation
Search View
Detailed Search
Identify duplicates
Fuzzy Search

The Image Editor

Tagging
Assigning a Rating
Adjust Colour Levels
White Balance Adjustment
Convert to Black and White
Red-eye correction
Auto Colour Correction
Lens Auto Correction

The Camera Interface

Read from Removable Media
or from Camera
Save direct to Albums
Add Geolocation to Individual Photos

The Light Table

Compare from a range of photos
Examine Details
Rating makes choice easier
See the camera settings

ShowFoto

For those who find the DigiKam interface a tad too technical, ShowFoto gives access to the same tools, with a popular interface.

Browsing
Image Properties
See image properties
Geolocation again
Preset zooms
Histogram
General Settings
Tooltip Options
Raw Image Settings
Colour Management Settings
File Saving Options
Configure a Slideshow

The project Home Page is here
A detailed User Manual is here. You will find these and many other screenshots there.

The support page of the project has links to Frequently Asked Questions (FAQs) and to Mailing List subscription details.

There is a short video tour here.

The section on Digital Asset Management is no longer on the web pages, but in the manual, which may be present on your installation as digikam-doc, or you can download a set of .pdf files, digikam.pdf, showfoto.pdf and kipi-plugins.pdf

The blog Open Source Photo Processing Comes of Age by rm42 highlights developments since the KDE 3 version, and provides a useful tour.

Dmitri Popov writes blogs about using Digikam, and has given us permission to reproduce them. Please remember that the images used are still copyright. Currently we have:

Install digiKam on Windows explaining the use of the Windows installer and providing a link to a tutorial for those who prefer to compile the latest version.
Exposure Blending deals with those difficult, high contrast photographs.
Lens Distortion helps you correct those inevitable distortions.
The Local Contrast Tool deals with photographs where specific areas are under- or over-exposed.
Batch Renaming of Photos suggests ways to automate naming your photos that improve cataloging them.
Watermark Photos tells how to use batch processing to add watermarks to your images.
The Levels Adjustment Tool adjusts brightness and contrast.
Convert RAW Files to DNG with DNGConverter will be of interest to users of high-end cameras.
Convert Photos to Black and White with digiKam shows you the tools for quick results.
Sieve through Photos with digiKam’s Light Table Tool is perfect for comparing a series of photographs to find the best one for your purpose.

Click on the Photography category at the bottom of this page to see a list of all available tutorials for Digikam and Showfoto.

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 <!--T:14-->
 The blog [[Special:myLanguage/Digikam/Tour|Open Source Photo Processing Comes of Age]] by rm42 highlights developments since the KDE 3 version, and provides a useful tour.
-<!--T:15-->
-Click on the <menuchoice>Photography</menuchoice> category at the bottom of this page to see a list of available tutorials for Digikam and Showfoto.
 Dmitri Popov writes blogs about using Digikam, and has given us permission to reproduce them.  Please remember that the images used are still copyright.  Currently we have:
@@ Line 106: / Line 103: @@
 * [[Special:myLanguage/Digikam/LightTable|Sieve through Photos with digiKam’s Light Table Tool]] is perfect for comparing a series of photographs to find the best one for your purpose.
+<!--T:15-->
+Click on the <menuchoice>Photography</menuchoice> category at the bottom of this page to see a list of all available tutorials for Digikam and Showfoto.