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Solutions for video analysis and face detection, including day/night video enhancement, face blurring with advanced tracking, automated watermarking, and scientific paper paragraph extraction. Built with OpenCV and Python.
A Python project demonstrating various image processing techniques, including noise reduction, filtering, geometric transformations, and feature extraction. The project applies median and smoothing filters, patch-based image restoration, histogram analysis, and edge detection to enhance and analyze images.
This project implements image encryption using the Logistic Map, a well-known chaotic system known for its sensitivity to initial conditions and control parameters. The encryption technique ensures high randomness, effective diffusion, and strong resistance to common cryptographic attacks.