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Curricular information is subject to change
1. Understanding the concept of image processing and the composition of image processing system.
2. Understanding the methods of gray transformation and spatial filtering in digital image processing.
3. Mastering image transformation, mainly the principle and properties of discrete Fourier transform.
4. Mastering the principle and method of image enhancement.
5. Understanding the basic concepts and methods of image segmentation.
6. Understanding the principle and method of image processing based on deep learning.
7. Having ability to apply simple image processing methods.
Student Effort Type | Hours |
---|---|
Lectures | 32 |
Total | 32 |
Not applicable to this module.
Remediation Type | Remediation Timing |
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In-Module Resit | Prior to relevant Programme Exam Board |
Name | Role |
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Enchang Sun | Tutor |
Wenying Wu | Tutor |