Digital image processing is the use of algorithms to make computers analyze the content of digital images.
Алгоритам за пресметување на Optical Flow во OpenCV
Digital Image Processing Lab, Islamia College, Peshawar
Basics of image processing techniques like image manipulation, image enhancement, image segmentation, and many more using Matlab code
Digital Image Processing (OpenCV - Python)
This repository covers the basics of image processing using MATLAB. Includes 10 problems and solutions with corresponding MATLAB files. Ideal for beginners in image processing ... ❤️
This project explores the effectiveness of FFT filters and DnCNN denoising in improving image quality by reducing noise in digital images.
"PIXSY" is a Image and video steganography that hides User's Text message in the desired cover file using the tool and can send it to the receiver who can extract the Hidden message using the same tool . Message is further secured by AES encryption algorithm .
A opencv4 and scikit-image based python digital image document scanner.
Implementation of various concepts around Digital Media (Image/Video) Processing (DMP)
An idea of creating images from EEG signals
Algorithms for Connecting Edge Points. Local, regional and global processing.
This repository showcases a virtual tour of a Sacred Heart University classroom using Matterport technology. It includes an interactive 3D model embedded in a single HTML page, demonstrating responsive web design, smooth navigation, and a professional layout to provide an immersive user experience.
A picture editing program as Document scanner in Python using Tkinter and OpenCV
RetroSpectra is a real-time facial emotion detection application. It uses Convolutional Neural Network (CNN) to identify human emotions from live video feed. The application leverages a pre-trained model to accurately detect and classify emotions, providing an interactive and engaging user experience.
Implementing Steganography from scratch using Python.
Final year college project, based on Digital Image Processing, Computer Vision and Deep Learning. It is aimed towards helping visually impaired people to access digital media and information of their surrounding, through text recognition and objection classification.
An indigenous system design for anomaly detection from CCTV camera feed
This project showcases face recognition, animal class detection (YOLOv8), MNIST digit recognition, image processing, and hand gesture recognition in a Streamlit web interface.