TGGS > ECE > 551
Digital Image Processing
Fundamentals of digital image processing; color conversion; thresholding; image enhancement; noise reduction and image restoration; pixel sampling; image quantization; image filtering; edge detection; image watermarking; image encryption; image compression; image segmentation; morphological image processing; image registration; image recognition and classification; high dynamic range images.
Credits : 3 (3-0-6)
Pre-Requisites : No
| Course Learning Outcomes (CLOs) : | |
|---|---|
| CLO 1 | Describe theoretical concepts of color conversion, thresholding, image enhancement, noise reduction and image restoration, pixel sampling, image quantization, image filtering, edge detection, image watermarking, image encryption, image compression, image segmentation, morphological image processing, image registration, image recognition and classification, high dynamic range images, and other knowledge in specific academic papers. |
| CLO 2 | Write programs related to above topics. |
| CLO 3 | Analyze performances of various image processing algorithms related to the above topics. |
| CLO 4 | Create a new image processing algorithm for a specific problem. |
| CLO1 | CLO2 | CLO3 | CLO4 | |
| ELO 1 | ✓ | |||
| ELO 2 | ✓ | |||
| ELO 3 | ✓ | |||
| ELO 4 | ✓ | |||
| ELO 6 | ✓ | |||
| ELO 8 | ✓ | ✓ | ✓ | ✓ |
Revision : July 2021 (090245334)
Other Revisions : July 2020