EE5561
EE 5561 - Image Processing and Applications: From linear filters to artificial intelligence (3 Cr.) Online may be available
Electrical and Computer Engineering (11122)
TIOT - College of Science and Engineering
EE 5561 - Image Processing and Applications: From linear filters to artificial intelligence (3 Cr.) Online may be available
Course description
Image enhancement, denoising, segmentation, registration, and computational imaging. Sampling, quantization, morphological processing, 2D image transforms, linear filtering, sparsity and compression, statistical modeling, optimization methods, multiresolution techniques, artificial intelligence concepts, neural networks and their applications in classification and regression tasks in image processing. Emphasis is on the principles of image processing. Implementation of algorithms in Matlab/Python and using deep learning frameworks.
prereq: [4541, 5581, CSE grad student] or instr consent
prereq: [4541, 5581, CSE grad student] or instr consent
Minimum credits
3
Maximum credits
3
Is this course repeatable?
No
Grading basis
OPT - Student Option
Lecture
Requirements
000356
Credit will not be granted if credit has been received for:
01244
Fulfills the writing intensive requirement?
No
Typically offered term(s)
Every Spring