- UCAS course code
- UCAS institution code
MEng Electronic Engineering with Industrial Experience
Year of entry: 2021
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Course unit details:
Digital Image Processing
|Unit level||Level 4|
|Teaching period(s)||Semester 1|
|Offered by||Department of Electrical & Electronic Engineering|
|Available as a free choice unit?||No|
- Introduction to digital image processing: light, cameras and the human visual system; digital systems for image capture and processing. (JPO)
- Colour representation and encoding: RGB; YUV; HSV. (JPO)
- The 2D Discrete Fourier Transform and Discrete Cosine Transform. (HY)
- Image encoding: quantization and image compression; relevant standards, e.g. JPEG; H264 and HDTV. (HY)
- Basic filtering operations: image smoothing; noise reduction and sharpening. (HY)
- Image enhancement: histogram-based equalisation; noise smoothing; edge detection; Hough Transform; morphological operators (erosion and dilation). (JPO)
- Applications: Object detection, recognition and tracking; motion estimation and 3-D reconstruction. (JPO)
- Real-time Implementation: Hardware and software platforms. (JPO)
The course unit aims to:
- Provide a thorough and complete introduction to the subject of modern digital image processing.
- Emphasise the links between the theoretical foundations of the subject and the essentially practical nature of its realisation.
- Encourage and understanding through the use of algorithms and real world examples,
- Provide useful skills through detailed practical laboratories, which explore digital image processing software and hardware.
Students will be able to:
Knowledge and understanding
Demonstrate a mastery and detailed knowledge of the founding principles of digital image processing, and understand how the various fundamental equations both operate and are constructed.
To recognise the different classes of problem in digital image processing, and to decide upon appropriate methodologies in their solution.
Program and debug existing image processing hardware platforms, and devise, code and test off-line and real-time image processing algorithms, both using PCs and dedicated image processing hardware.
Transferable skills and personal qualities
Perform literature searching; scientific report writing; use of graphing and presentation packages; project planning; team work; use of the Blackboard system discussion forum.
Unseen Written Examination
The form of the examination: 4 questions, answer all questions
Length of examination: 3 hours
Calculators are permitted
The unseen written examination forms 70% of the total unit assessment
Course Work- Laboratories
The number of laboratories: 3
The length of laboratory: 6 hours
Two of these laboratories are assessed by a lab report
Maximum mark for the laboratories forms 30% of the overall unit mark
|Scheduled activity hours|
|Practical classes & workshops||18|
|Independent study hours|
|Hujun Yin||Unit coordinator|