Advanced Video Dehazing and Haze Simulation System for CV

Advanced Video Dehazing and Haze Simulation System for CVAdvanced Video Dehazing and Haze Simulation System for CV

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Farhan Khan

• May 20

Automated Video Dehazing & Atmospheric Haze Simulation System

🚀 Project Overview

This advanced Computer Vision project is designed to address visibility challenges in adverse weather conditions. The system features a dual-module architecture: it can synthetically inject realistic atmospheric fog/haze into crystal-clear video streams for dataset generation, and conversely, restore heavily degraded, foggy videos into crisp, high-visibility outputs in real-time.

🛠️ Core Functionality & Modules

Module 1: Atmospheric Haze Simulation

Purpose: Generates synthetic datasets to train and benchmark object detection models (like YOLO) for bad weather conditions.

How it works: Implements mathematical scattering models to calculate depth maps and overlay a realistic layer of dense fog or smoke over clean video frames.

Module 2: Real-Time Video Dehazing

Purpose: Restores clarity and vivid color to video streams captured in low-visibility environments.

How it works: Leverages physics-based Computer Vision algorithms (such as Dark Channel Prior - DCP) or Deep Learning frameworks to estimate atmospheric light, eliminate transmission noise, and reconstruct the scene's original contrast.

🎯 Use Cases & Applications

Autonomous Vehicles: Enhances the sight and reliability of self-driving car sensors in dense fog.

Smart Surveillance (CCTV): Improves security monitoring and facial recognition accuracy under harsh outdoor weather.

Drone Navigation: Aids aerial drones in safely navigating through smoke, dust storms, or low-lying clouds.

💻 Tech Stack Used

Language: Python

Libraries: OpenCV, NumPy, Matplotlib, PyTorch / TensorFlow (if deep learning was applied)

Concepts: Image Processing, Atmospheric Scattering Models, Feature Restoration, Video Pipeline Optimization

Embedded Systems AI Development Full Stack Development MATLAB Python OpenCV

Stas Tatarinov

pro

• Jun 4

Project name: KAPKAT | 1920s Soviet Era For this CapCut Design Studio Challenge I reimagined CapCut brand in a different era. KAPKAT It is a Creative Factory/ Agency from 1920s Soviet Russia combined with the claymation style that was also having it's first moments around those times. With the help of Design Studio I created claymation style environment matching the aesthetic of the actual Soviet streets and buildings as well as themed posters that encourage citizens to come join the Creative Factory as well as to just be creative on their own. This is not about gaining power- it's about bringing the best ideas out of the best creatives to deliver the best results to clients. Enjoy!