This module provides undergraduate students with a comprehensive understanding of image processing concepts, equipping them with the skills to design and implement image processing techniques.
A. Critically evaluate and discuss the basic principles of digital image processing, including key concepts such as image resolution, and quantization, histogram. B. Compare various techniques used in digital image processing and assess their strengths and weaknesses. C. Analyze the application areas of different image processing techniques, such as image enhancement, image transformation, image compression, and morphological operations. D. Develop and implement relevant image processing techniques to solve a given problem, and evaluate the success and limitations of the solutions. E. Design and create applications that incorporate fundamental image processing algorithms, demonstrating an understanding of the development process.
This module is delivered via lectures and laboratory sessions. In the lecture sessions, we will introduce key concepts and algorithms about image processing. In the lab sessions, the students are required to implement image processing algorithms and take analysis about the results, and complete them with a report.