Image Processing is an area of information science and engineering of growing importance with a wide range of applications, including: digital photography, video conferencing and streaming, industrial imaging and computer vision systems, autonomous vehicles, remote sensing and satellite imaging, video surveillance and security systems, and medical imaging such as CT (computed tomography), MRI (magnetic resonance imaging), PET (positron emission tomography), x-ray and ultrasound imaging.

This course will cover topics on digital image processing fundamentals, image analysis, image processing and restoration, image compression, morphological image processing, image segmentation and description as well as contemporary applications of neural networks and machine learning in image analysis and computer vision.

The course will contribute to consolidation of students' engineering mathematical knowledge and engineering programming skills, extension of theoretical knowledge and practical skills to solve multidimensional signal processing problems, and the development of your ability to work on multidisciplinary issues in diverse areas of digital imaging, image processing, computer vision, and machine learning applications.

The course will reinforce and enhance students' skills in technical communication through preparation of technical laboratory reports and presentations.

Please note that if you take this course for a bachelor honours program, your overall mark in this course will be one of the course marks that will be used to calculate the weighted average mark (WAM) that will determine your award level. (This applies to students who commence enrolment in a bachelor honours program from 1 January 2016 onwards. See the WAM information web page for more information.