Free image editor software software for linux

Image Repository provides a centralized image repository capable of holding thousands of images with keyword/tag-based browsing.
Image Repository is a centralized image repository capable of holding thousands of images with keyword/tag-based browsing and filtering.
Main features:
- Its goal is to provide you with an easy way to have a centralized image library with thousands of images categorized by keywords, dates, etc.
- It has special handling that lets you browse the keyword space like it was a collection of nested folders. Example: Browse to keyword "Carnivores", you will get the available keywords "Cats", "Dogs", and the selection will narrow down, applying all the keywords you have selected on your path through the keyword space.
- It comes complete with a Kupu "library", meaning you can browse the keywords through the Kupu image insertion dialog to make it easy to locate images even in a large collection of images.
- It has a tagging interface that lets you tag images with a thumbnail like view, and apply keywords to multiple images at once.
- It uses whatever image type you have installed (it does need to be added as an addable type and be able to supply thumbnails like the default Plone image type, though).
Enhancements:
- Added action to register the repository in Kupu. [fschulze]
- Using interfaces, views and adapters in various places to make this more flexible. [fschulze]
- Removed unused code. [fschulze]

Image Download allows you to download All the Picuture In the Page.

Filter by width ,height, type.

Auto Create Sub Folder ,auto rename

Auto log Download Infomation.

Semi-Batched-Image-Editor program is an image editor for Linux.
The problem: Got a huge amount of scanned pictures (from your digital camera, or as Picture-CD from your favorite lab)? Want to rotate some of them to the right orientation? Select a good detail? Scale to a given output format? Want to do this with as less as possible mouseclicks?
The solution: SeBIE - the Semi-Batched-Image-Editor.
Main features:
- Input filename selection via regular expressions.
- Create output filename via regular expression and substitution.
- Select image details with a given proportion.
- Scale to a given output format when saving.
- Apply some color correction (at the moment only gamma curve correction is possible).
Why Semi-Batched? Because SeBIE is not fully batch processing. A rest of user interaction is still needed (and wanted).
SeBIE is written in C using the gdk/gtk (glib-2.0.7/gtk+-2.0.9) toolkit.
Installation:
Get the source distribution from the download page and unpack:
tar -xvzf sebie-0.9.tar.gz
Change to the sebie source directory:
cd sebie-0.9
Run the configure script:
./configure
Build the executable:
make all
And install it as root:
make install
Start the application using the command sebie....
Enhancements:
- Add events delete_event and destroy to main window.
- Handling resizable drawing area.

AJAX Image Dump System or AIDS for short, is a image dump system written in PHP and Javascript using MYSQL databases, with AJAX functionality using the jquery library and the MOD_REWRITE Apache module to shorten down URL-addresses. The system also uses the XTemplate.
Enhancements:
- Fixed the bug causing the second image uploaded to fail, and send the user to the upload.php page.
- See https://sourceforge.net/tracker/index.php?func=detail&aid=1735653&group_id=198562&atid=965971 for more info regarding this bug.
- Got more of the system onto the xtemplatephp-system and added support for multiple languages, translation will begin shortly.
- Better support for adding other languages will come in one of the next releases. (See langNO.php for the current running language).
- Changed the link for the pictures after a uploading to point to the right page (removed .jpg at the end of the link).

If you are like me you have hundreds or even thousands of images ever since you got your first camera, some taken with a normal camera other with a digital camera.
Through all the years you believed that until eternity you would be able to remember the story behind every single picture, you would be able to remember the names of all the persons on your images, and you would be able to remember the exact date of every single image.
I personally realized that this was not possible anymore, and especially for my digital images - but also for my paper images - I needed a tool to help me describe my images, and to search in the pile of images. This is exactly what KimDaba is all about.
With KimDaBa it is today possible for me to find any image I have in less than 5 seconds, let that be an image with a special person, an image from a special place, or even both.
There is of course no such thing as free lunch - with KimDaBa this means that you have to annotate all your images before you are set. KimDaBa is, however, highly optimized for annotating images, so annotating 100 images in 10 minutes are no way impossible.
Enhancements:
- BUGFIX: Using kapp->invokeHelp to show help rather than kapp->invokeBrowser, as the later doesnt work unless your default browser is konqueror.
- BUGFIX: the category was sometimes shown twice in the status bar
- BUGFIX: remove tokens didnt work for KDE 3.4
-

KIWI Image System provides a complete operating system image solution for Linux supported hardware platforms as well as for virtualisation systems like Xen Qemu or VMware. The KIWI architecture was designed as a two level system. The first stage, based on a valid software package source, creates a so called physical extend according to the provided image description. The second stage creates from a required physical extend an operating system image. The result of the second stage is called a logical extend or short an image.
A normal installation process is starting from a given installation source and installs single pieces of software until the system is complete. During this process there may be manual user intervention required. However an operating system image represents an already completed installation encapsulated as a file and optionally includes the configuration for a specific task. Such an operating system starts working as soon as the image has been brought to a system storage device no matter if this is a volatile or non volatile storage. The process of creating an image takes place without user interaction.
This means all requirements of the encapsulated system has to be fulfilled before the image is created. According to this the so called image description tree stores all the information needed to create an image.
Main features:
- Distribution independent
- Support for virtualisation systems like Xen
- Support for deploying images over the network
- Support for VMware / Qemu images
- Support for USB-Stick systems
- Support for LiveCD/DVD systems
- Centralized image description based on XML
- Prebuild boot images for SUSE systems
- Prebuild PXE configuration usable with kiwi netboot images
- SUSE Linux on a 128MB flash card.. yes thats possible

Transcoding is the process by which a data object in one representation is converted into another representation. Typical examples include conversion between different formats of the same media type (e.g., an image encoded in a certain format is transcoded into an image encoded in a second format), as well as conversion between media types (e.g., speech to text). In addition to format conversion, transcoding also allows a data object to be compressed or transformed.
GAIA Image Transcoder (GIT) project is an open source library that operates image transcoding, with a special focus on mobile applications. GIT was originally developed by Open Reply team as a part of a content adaptation and delivery framework and its publication under LGPL license is the first step of the entire framework release process.
GIT comes in two parts:
- a transformation and transcoding library that performs image adaptation to mobile device using information retrieved from WURFL file
- a very simple JSP tag library that enables library utilization into a J2EE environment
The transcoding library works as a transformation pipeline. The pipeline is composed by a set of filters. A filter could operate directly on the image body or indirectly on the associated meta-information. GIT architecture supports the management cycle of such pipes while GIT tag libraries simplifies their definition.

Image::ExifTool::MPEG is a Perl module to read MPEG-1 and MPEG-2 meta information.

SYNOPSIS

This module is used by Image::ExifTool

This module contains definitions required by Image::ExifTool to read MPEG-1 and MPEG-2 audio/video files.

NOTES

Since ISO charges money for the official MPEG specification, this module is based on unofficial sources which may be incomplete, inaccurate or outdated.