Motion-Compensated Video Filter

This project is a python implementation of a motion-compensated video filter made for the Signal, Image and Video course at UNITN (🇮🇹).

🚀 Teacher guidelines

• Python as coding language
• It must accept settings parameters as input variables (eventually from a file or from the command line) and it must generate an output
• The software must be accompanied by a report in which it is summarized what is necessary to make the filter works (libraries, Python version, etc.) and some commented graphic examples
• Software and report must be delivered 1 week before the exam
• The exam will be a 10 minute presentation about the work done

⚙️ Requirements

• Python 3.8.6
• Numpy 1.19.4

🔧 How to use

• Clone the repository https://github.com/sebastianochiari/SIV-project
• Install all the dependencies listed above

📜 Report

The report da inserire includes some theory behind the functioning of the filter and all the details about the implementation.