What you will learn?

Preparation

1. Install Ubuntu/Linux OS on your Computer (logical or virtual machine)

2. Install Modelsim/Questasim for RTL verification

3. Install Vivado Design Suite 2016.4 or later

4. Install Python 3.7 or later (https://www.python.org/downloads/release/python-370/)

5. Python OpenCV (https://pypi.org/project/opencv-python/)

6. Visual Studio Code ( https://code.visualstudio.com/) for code editor

Syllabus

Contents

Chapter 1: Introduction and Overview

• Introduce the subject

• Group

Chapter 2: Theoretical Basis

• Image Processing

• FPGA

Chapter 3: Design Process

• Problem Specification

• Algorithm Development

• Architecture Selection

• System Implementation

• Debugging

Chapter 4: Mapping Techniques and Operations

• Constraints

• Point Operations

• Histogram Operations

• Local Filter

Chapter 5: Implementation

• Introduce Xillybus IP core

• Implement system on Soc Dev KIT (Zybo, Zedboard ..)

• LAB Syllabus (Project-based learning)

• LAB1: Install software and setup Environments

• LAB2: Algorithm development (Using Python)

• LAB3: Implementation of the Algorithm using HDL

• LAB4: Implementation of the System on FPGA kit (using Xillybus IP Core + dev kit)

• LAB5: Report Project

Schedule

Slides

References

Textbook: Design for Embedded Image Processing on FPGAs, by Donald G. Bailey

Xillybus Documentation

OpenCV-Python Tutorials

Resources