Two lectures per week for the first 6 weeks = 12 lectures
One practical per week = 12 practicals
(1:n)1 (1:20)1

This module will examine spatial filtering, image compression, colour image processing, frequency domain representations of images, and introductory machine vision.

Assignment 1 (50%): Research based assignmetn in which students will be required to explore one of the main themes of the core module in greater depth, undertaking a small-scale literature review of the subject (2000 words). This will address Learning Outcomes 1 and 2.
Assignment 2 (50%): Practical project in which students will be expected to design and build a working artefact that represents the implementation of a technique or algorithm identified in Assignment 1 (2000 words). This will be the final part of the assignment. This will address Learning Outcomes 2 and 3.

R.C. Gonzalez, R.E.Woods, Digital Image Processing, 3rd Ed, Addison Wesley, 2008, ISBN: 978-0135052679

C/C++ and JAVA development environment

Prior study of at least two modules involving programming in Java, C/C++ or equivalent.