Search Results for "pixel"
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Showing 6 open source projects for "pixel"
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ImageMagick
Display, convert, and edit raster image and vector image files
ImageMagick® is a free and open-source software suite for displaying, converting, and editing raster image and vector image files. It can read and write over 200 image file formats, and can support a wide range of image manipulation operations, such as resizing, cropping, and color correction. ImageMagick is written in C and is available for a wide range of operating systems, including Linux, macOS, and Windows. It can be used as a standalone application, or as a library that can be... -
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PGMania
Astrophotography image & video processor. Full processing cycle
PGMania is a universal package for processing deep space images. The program provides wide and unique functionality, a powerful and flexible tool with a clear and user-friendly interface. The program performs all image processing cycles for astrophotography, including filtering, cleaning, aligning, image calibrating, stacking, post-processing, format conversion, cropping, rotations, many special operations and much more. PGMania is environmentally friendly - it does not clutter your photos... -
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ShaderView
ShaderView - a simple stand-alone program to run GLSL fragment-shaders
ShaderView - a simple stand-alone tool to display a GLSL pixel-shader (inspired by Inigo Quilez's great ShaderToy). Implemented in C++ using SDL2 and OpenGl. -
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DiffImg
Simple image comparison tool
DiffImg is a simple image comparison tool which take two images with the same size as input. Some statitics are computed and the positions where pixel differ are displayed as a color mask. -
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Project moved to GitHub: https://github.com/reybits/simple-viewer-gl Small and simple viewer for Linux, support multipage images, support transparency and alpha-channel in images.
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PixelDbg
Visualize any data stream, recover images, save images as files.
Turn any data stream into an image and observe various patterns and pictures. Recover images from corrupted or unknown archives (i.e. Windows hibernation files, binary dumps, etc.). Change channel order and pixel format on the fly to interpret given data in different ways. Easily adjust scanline and image tiling while inspecting data. Observe if given data stream has high entropy. Save currently visible data as an image and analyze it later.
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