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Images and visual information are integral parts of our daily lives. Image processing plays an important role in various practical applications among them: television, medical imaging modalities such as X-ray or ultrasound, photography, security, astronomy and remote sensing. This subject will introduce the fundamentals of image and video processing and manipulation. While image applications will be used for illustrations, the subject emphasizes on general principles of image processing rather than specific applications.
This subject will cover the following topics:
introduction to image processing, image acquisition and display, image perception, colour representations, image sampling, quantization and image quality measurement, point operations, linear image filtering and correlation, image transforms and sub-band decompositions, contrast and colour enhancement, eigenimages, image segmentation, image restoration, image compression, patch image analysis, video coding and analysis.
Intended learning outcomes
2. Describe the basic theory and algorithms that are widely used in image processing
Upon completion of this subject, students will have developed the following skills:
- Ability to apply knowledge of science and engineering principles to image and video related problems;
- Ability to undertake image and video problem identification and formulate solutions;
- Capacity for independent critical thought, rational inquiry and self-directed learning;
- Develop work collaboration and communication skills.
Last updated: 2 December 2019