📖 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.

Implementation of homomorphic filter made in Python

Official implementation of SPANet in ICCV2023

Graduate Level Course of Technical University of Munich

image and photo editor with many extra features in python

Create a image filtering algorithm and generate hybrid images from two distinct images by filtering them with gaussian filter.

Implementation of image filters with opencv. Contains both image and video filters.

A GIMP plugin that merges all layers in an image by taking the average value of each pixel. Useful for noise reduction

Three different image filters were implemented using OpenCV: Kuwahara filter, Gaussian filter, and Mean filter.

A Python-based project implementing image enhancement techniques using Fast Fourier Transform (FFT) to reduce noise and improve image quality.

电子科技大学 2020 级《计算机视觉与模式识别》课程代码。

A multi-image gallery with image filtering.

An algorithm that combines median stacking with object detection and masking using YOLOv7, opencv and python. The algorithm will remove people and man made objects from image stacks thus creating the illusion of solitude in the output image.

This repository contains codes that I developed for image processing and evaluation of large dataset of images. These codes are mostly used with Deep Learning networks.

[ Tugas ] Noise Pepper, Arithmetic Mean Filter , Median Filter, Alpha Trimmed Mean Filter with Python

This Python code utilizes OpenCV to detect and draw circles in an image. It applies grayscale conversion and median blur to reduce noise, then employs the Hough Circle Transform for circle detection. Detected circles are highlighted in red on the image.

DeepSee is an image processing project that applies advanced spatial and frequency domain techniques for filtering, segmentation, boundary detection, and facial recognition. It features a responsive GUI with multiprocessing, multithreading, and both dark and light modes.

Computational Photography: Image filtering, hybriding, blending and HDR

Image filtering based on color detection.