📖 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

A MFC-based digital image processing program: 这是一个基于MFC的数字图像处理程序，主要实现了对图像进行灰度变换（曲线、色阶）、几何变换（缩放、旋转）、滤波（空间滤波、频域滤波、FFT）等功能。

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

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

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

Graduate Level Course of Technical University of Munich

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

Implementation of the SIGGRAPH Asia 2024 conference paper "A Statistical Approach to Monte Carlo Denoising" [Sakai et al. 2024] based on pbrt-v3