Search Results for "work"

...It supports a good range of image formats, including JPEG, JPEG2000, JPEG-XL, TIFF, PNG, WebP, HEIC, AVIF, FITS, Matlab, OpenEXR, PDF, SVG, HDR, PPM / PGM / PFM, CSV, GIF, Analyze, NIfTI, DeepZoom, and OpenSlide. It can also load images via ImageMagick or GraphicsMagick, letting it work with formats like DICOM. It comes with bindings for C, C++, and the command-line. Full bindings are available for Ruby, Python, PHP, C# / .NET, Go, and Lua.

ResIL started as a fork of DevIL and is actively maintained to use up-to-date libraries. The API has been updated to work with several threads. Countless fixes have been applied, much of the code base has actually been rewritten to enhance stability. Support for webp has been added. ResIL focuses on robust decoding so that even partially corrupted images can be displayed without crashes or exceptions.

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.

MFBdjvu is a simple project for easy converting pgm and ppm to (MASK+FG+BG)-djvu. It uses djvulibre for all technichal work and compression. The breakdown of the image into components is done using DjVuL and DjVuL wiki. MFBdjvu based of simpledjvu.

Astro-raw performs standard astro-image processing at 32 bits per ch. Work flow = BadPixel replacement, DarkFrame subtract, image stacking, FlatField equalisation & 32 > 16 by gamma Sigmoid curve LUT. Output non-resolved Bayer Matrix FITS file.

Amoeba is an implemenatation of a research paper titled "Fast and Accurate Edge-Based Segmentation with No Contour Smoothing in 2-D Real Images" (IEEE tran on Image Processing, July 2000).This is a completed work, hence no promises for support ;)

...A Python GUI for interacting with such datasets is also part of the project. While there are other open-source GIS, and image-processing packages available, this one is designed to be comprehensive, work on 3 major platforms, user-extensible, fast, and able to handle huge datasets. Click the Blog tab for more info.