Open Source Windows Image Processing Software

"aura" tool is a desktop (X root window) background setter, making heavy accent on image processing and clever scaling (liquid rescale, solid margins cropping, labelling) capabilities.

ImageJ2x is medical image processing program inspired by NIH Image for the Macintosh. It can display, edit, analyze, process, save and print 8-bit, 16-bit and 32-bit images. There can be many image formats including TIFF, GIF, JPEG, BMP, DICOM, PNG, FITS and "raw" and ... Read and supports "stacks" (stack), a series of images that share a single window. The program supports simultaneous that number of windows (images), limited only by available memory. It is multithreaded, so that time-consuming operations such as reading lists in parallel with other operations are performed. It can calculate area and pixel value statistics of user-defined selection. It can measure distances and angles. It can record density histograms and line profiles. It supports standard image processing functions such as contrast manipulation, sharpening, smoothing, edge detection and filtering it through all kinds of geometric transformations such as Zoom in / out and rotation. Images can be enlarged up to 32

PyExe: YouTube thumbnail downloader (type-b) [Improved.Simplified.Alternative] Download YouTube video thumbnails. Compatible only for windows OS.

An astronomical Open source Delphi project for : robotic telescope, autoguiding, astrophotography and advanced astronomical image processing. It is developing continuously by author. Some other astronomical test, ideas and source code => See my site for new informations (for amateur and Delphi programmers.) New: STAFImage : image process and blinkcomparator for astrophotographer Some other astronomical test, ideas and source code => See my site for new informations (for amateur and Delphi programers.)

MFBpdf is a simple project for easy converting PNM to (MASK+FG+BG)-pdf. It uses libtiff and libjpeg for all technichal work and compression. The breakdown of the image into components is done using DjVuL and DjVuL wiki.