> For the complete documentation index, see [llms.txt](https://bryan-guner.gitbook.io/knowledge/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://bryan-guner.gitbook.io/knowledge/14-pure-education/knowledge-master/computer-graphics/image-processing.md).

# Image processing

## Links

* [Bild](https://github.com/anthonynsimon/bild) - Collection of parallel image processing algorithms in pure Go.
* [Crunch](https://github.com/chrissimpkins/Crunch) - Insane(ly slow but wicked good) PNG image optimization.
* [Tiler](https://github.com/nuno-faria/tiler) - Tool to create an image using all kinds of other smaller images (tiles).
* [Fiji](https://fiji.sc/) - Image processing package — a "batteries-included" distribution of ImageJ, bundling many plugins which facilitate scientific image analysis.
* [Create Social Images](https://createsocialimages.com/) ([Code](https://github.com/pshihn/csi))
* [libvips](https://github.com/libvips/libvips) - Fast image processing library with low memory needs. ([Web](https://libvips.github.io/libvips/))
* [wasm-vips](https://github.com/kleisauke/wasm-vips) - libvips compiled to WebAssembly with Emscripten.
* [sharp](https://github.com/lovell/sharp) - High performance Node.js image processing, the fastest module to resize JPEG, PNG, WebP and TIFF images. Uses the libvips library.
* [Oxipng](https://github.com/shssoichiro/oxipng) - Multithreaded lossless PNG compression optimizer. It can be used via a command-line interface or as a library in other Rust programs.
* [Glitch This](https://github.com/TotallyNotChase/glitch-this) - Glitchify static images to glitched images and GIFs.
* [Obscure features of JPEG (2011)](https://hodapple.com/blag/posts/2011-11-24-obscure-features-of-jpeg.html)
* [stegify](https://github.com/DimitarPetrov/stegify) - Go tool for LSB steganography, capable of hiding any file within an image.
* [waifu2x](https://github.com/nagadomi/waifu2x) - Image Super-Resolution for Anime-Style Art.
* [Lossless Image Compression through Super-Resolution](https://github.com/caoscott/SReC) ([HN](https://news.ycombinator.com/item?id=22802909))
* [Zpng](https://github.com/catid/Zpng) - Better lossless compression than PNG with a simpler algorithm.
* [butteraugli](https://github.com/google/butteraugli) - Estimates the psychovisual difference between two images.
* [PIK](https://github.com/google/pik) - New lossy/lossless image format for photos and the internet.
* [imgmaker](https://github.com/minimaxir/imgmaker) - Create high-quality images programmatically with easily-hackable templates.
* [Halide](https://github.com/halide/Halide) - Language for fast, portable data-parallel computation. ([Web](https://halide-lang.org/))
* [video-loops](https://github.com/luluxxxxx/video-loops) - Automatic looping of image sequence using optical flow.
* [imaginary](https://github.com/h2non/imaginary) - Fast, simple, scalable, Docker-first HTTP microservice for high-level image processing.
* [Image Segmentation: tips and tricks from 39 Kaggle competitions (2020)](https://neptune.ai/blog/image-segmentation-tips-and-tricks-from-kaggle-competitions) ([Reddit](https://www.reddit.com/r/MachineLearning/comments/g1okir/d_we_are_putting_together_a_list_of_image/))
* [Instagram 3D Photo](https://github.com/cyrildiagne/instagram-3d-photo) - Chrome extension that adds a 3d photo effect to Instagram pages.
* [Segmentation Models](https://github.com/qubvel/segmentation_models) - Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
* [Seam-aware Decimater](https://github.com/songrun/SeamAwareDecimater) - Mesh simplification with UV's boundary preserved.
* [dechroma (2020)](https://flak.tedunangst.com/post/dechroma)
* [skopeo](https://github.com/containers/skopeo) - Work with remote images registries - retrieving information, images, signing content.
* [BlurHash](https://blurha.sh/) - Compact representation of a placeholder for an image. ([Code](https://github.com/woltapp/blurhash))
* [imgproxy](https://imgproxy.net/) - Fast and secure on-the-fly image processing. (\[[Code](https://github.com/imgproxy/imgproxy)])
* [GPR (General Purpose Raw image format)](https://github.com/gopro/gpr) - 12-bit raw image coding format that is based on Adobe DNG standard.
* [photon](https://github.com/silvia-odwyer/photon) - Rust/WebAssembly image processing library.
* [imageproc](https://github.com/image-rs/imageproc) - Image processing operations as rust library.
* [Thumbor](https://github.com/thumbor/thumbor) - Open-source smart on-demand image cropping, resizing and filters.
* [ImageMagick](https://imagemagick.org/index.php) - Convert, Edit, or Compose Bitmap Images. ([WASM implementation](https://github.com/dlemstra/Magick.WASM)) ([Deno port](https://github.com/leonelv/deno-imagemagick)) ([Code](https://github.com/ImageMagick/ImageMagick))
* [Leptonica](https://github.com/DanBloomberg/leptonica) - Open source library containing software that is broadly useful for image processing and image analysis applications. ([Web](http://leptonica.org/))
* [libspng](https://github.com/randy408/libspng) - C library for reading and writing Portable Network Graphics (PNG) format files with a focus on security and ease of use.
* [Visualizing and Understanding JPEG Format](https://github.com/corkami/formats/blob/master/image/jpeg.md) ([HN](https://news.ycombinator.com/item?id=23787674))
* [jpeg2png](https://github.com/victorvde/jpeg2png) - Silky smooth JPEG decoding - no more artifacts. ([Lobsters](https://lobste.rs/s/qi7jk5/jpeg2png_silky_smooth_jpeg_decoding_no))
* [VICAR](https://github.com/nasa/VICAR/) - Multi-dimensional image processing software. ([HN](https://news.ycombinator.com/item?id=24026778))
* [Parallel Seam Carving (2020)](https://shwestrick.github.io/2020/07/29/seam-carve.html) ([HN](https://news.ycombinator.com/item?id=24117330))
* [Image Resizing by Seam Carving (2017)](https://www.youtube.com/watch?v=6NcIJXTlugc)
* [AVIF has landed (2020)](https://jakearchibald.com/2020/avif-has-landed/) ([Lobsters](https://lobste.rs/s/hjz9uo/avif_has_landed)) ([HN](https://news.ycombinator.com/item?id=24407241))
* [imgix](https://www.imgix.com/) - Image processing and optimization API - Image CDN.
* [cavif](https://github.com/kornelski/cavif-rs) - AVIF image creator in pure Rust.
* [A Tour of the Tiny and Obfuscated Image Decoder (2020)](http://eastfarthing.com/blog/2020-09-14-decoder/) ([HN](https://news.ycombinator.com/item?id=24468039))
* [imSearch](https://github.com/rikenmehta03/imsearch) - Generic framework to build your own reverse image search engine.
* [image-stego](https://github.com/dennis-tra/image-stego) - Novel approach to image manipulation detection.
* [Lycon](https://github.com/ethereon/lycon) - Minimal and fast image library for Python and C++.
* [Optimizt](https://github.com/funbox/optimizt) - CLI tool that helps you prepare images during frontend development.
* [napari](https://github.com/napari/napari) - Multi-dimensional image viewer for python.
* [NeuralHash](https://github.com/nikcheerla/neuralhash) - Adversarial Steganographic Method For Robust, Imperceptible Watermarking.
* [gif-h](https://github.com/charlietangora/gif-h) - C++ one-header library for the creation of animated GIFs from image data.
* [Image Processing Techniques That You Can Use in Machine Learning Projects (2020)](https://neptune.ai/blog/image-processing-techniques-you-can-use-in-machine-learning)
* [image-server](https://github.com/kkty/image-server) - Simple http server that accepts an image, converts it to a different format, resizes/compresses it and sends it back.
* [smartcrop](https://github.com/muesli/smartcrop) - Finds good image crops for arbitrary crop sizes.
* [Programmable In-Memory Image Processing Accelerator Using Near-Bank Architecture (2020)](https://miglopst.github.io/files/gu_isca2020.pdf) ([HN](https://news.ycombinator.com/item?id=24905827))
* [High throughput JPEG decoder in Verilog for FPGA](https://github.com/ultraembedded/core_jpeg)
* [Dezoomify](https://dezoomify.ophir.dev/dezoomify/dezoomify.html) - Extracts full high-resolution images from online zoomable image interfaces. ([Code](https://github.com/lovasoa/dezoomify))
* [dezoomify-rs](https://github.com/lovasoa/dezoomify-rs) - Tiled image downloader.
* [libwebp (WebP codec)](https://github.com/webmproject/libwebp) - Library to encode and decode images in WebP format.
* [WebM](https://www.webmproject.org/) - High-quality, open video format for the web that's freely available to everyone. ([GitHub](https://github.com/webmproject))
* [Odiff](https://github.com/dmtrKovalenko/odiff) - Fastest in the world pixel-by-pixel image difference tool.
* [Image Processing in Python: Algorithms, Tools, and Methods You Should Know (2020)](https://neptune.ai/blog/image-processing-in-python-algorithms-tools-and-methods-you-should-know)
* [Image Super-Resolution](https://github.com/idealo/image-super-resolution) - Upscale and improve the quality of low resolution images.
* [Primitive Pictures](https://github.com/fogleman/primitive) - Reproducing images with geometric primitives. ([Primitive for macOS](https://primitive.lol/))
* [picfit](https://github.com/thoas/picfit) - Reusable Go server to manipulate images (resize, thumbnail, etc.).
* [dify](https://github.com/jihchi/dify) - Pixel-by-pixel image diffs tool.
* [imagemin](https://github.com/imagemin/imagemin) - Minify images seamlessly.
* [imgdiff](https://github.com/n7olkachev/imgdiff) - Faster than the fastest in the world pixel-by-pixel image difference tool. ([HN](https://news.ycombinator.com/item?id=25401100))
* [Triangler](https://github.com/tdh8316/triangler) - Images to Low-Poly art using Python and Delaunay triangulation.
* [Geometrize](https://www.geometrize.co.uk/) - Transform images into geometric primitives. ([Code](https://github.com/Tw1ddle/geometrize))
* [A perceptual color space for image processing (2020)](https://bottosson.github.io/posts/oklab/)
* [Critique of Oklab (new perceptual color space) (2021)](https://raphlinus.github.io/color/2021/01/18/oklab-critique.html)
* [fSpy](https://fspy.io/) - Cross platform app for quick and easy still image camera matching. ([Code](https://github.com/stuffmatic/fSpy))
* [Ditherpunk — The article I wish I had about monochrome image dithering (2021)](https://surma.dev/things/ditherpunk/) ([HN](https://news.ycombinator.com/item?id=25633483))
* [Jimp](https://github.com/oliver-moran/jimp) - JavaScript Image Manipulation Program.
* [Resemble.js](https://github.com/rsmbl/Resemble.js) - Analyze and compare images with JavaScript and HTML5.
* [Image Analyze Workers](https://github.com/w-okada/image-analyze-workers) - Zoo of image processing Web Workers for JavaScript or TypeScript.
* [ImagePy](https://github.com/Image-Py/imagepy) - Open source image processing framework written in Python.
* [Creating image reveal videos with ffmpeg and primitive (2021)](https://blog.forret.com/2021/01/21/creating-image-reveal-videos-with-ffmpeg-and-primitive/)
* [Upscaler](https://www.upscaler.ai/) - Increase image resolution up to 4x using JavaScript and Tensorflow\.js ([Code](https://github.com/thekevinscott/UpscalerJS))
* [RemoveBackground.app](https://removebackground.app/) - Remove the background from your images using ML.
* [z.lib](https://github.com/sekrit-twc/zimg) - Scaling, colorspace conversion, and dithering library.
* [pierogis](https://github.com/pierogis/pierogis) - Framework for image processing.
* [Fractal Image Compression (2018)](https://pvigier.github.io/2018/05/14/fractal-image-compression.html)
* [The Magic Kernel Sharp – image resizing algorithm](http://www.johncostella.com/magic/)
* [Sparkles](https://github.com/varld/sparkles) - Easily extract metadata and a blurhash from images.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://bryan-guner.gitbook.io/knowledge/14-pure-education/knowledge-master/computer-graphics/image-processing.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.