📖 This guide is to help you understand the basics of the computerized image and develop computer vision projects with OpenCV. Includes Python, Java, JavaScript, C# and C++ examples.

The hottest High Dynamic Range (HDR) Library

fast, high peformance image processing library for golang

NDSAR speckle filtering for multidimensional and single-channel SAR images

Edge Detection with XDoG Filter

Fast image resizer for Ruby

Computer Vision implementation

GPUImage2 based image filtering built with SwiftUI for macOS

Implementation of homomorphic filter made in Python

Official implementation of SPANet in ICCV2023

image filtering techniques in python with examples

Graph-ICS is a tool for creating and visualizing image, video, and data streams.

Computer Vision and Image Processing algorithms acceleration using CUDA - Guide: Prof. S. Gopalakrishnan

Graduate Level Course of Technical University of Munich

Basics of image processing techniques like image manipulation, image enhancement, image segmentation, and many more using Matlab code

Simple commandline tool & header-only library to create, batch-apply and convert 3D LUTs

A library to create kaleidoscope effect on images with CUDA. You can build on all platforms using CMake

Through MATLAB Computer Vision and Image Processing | Mathworks

image and photo editor with many extra features in python