EL 5123 Image Processing

3 Credits

The course focuses on image formation and perception; image acquisition, representation and display; image sampling and resizing; contrast enhancement; two-dimensional Fourier transform and other unitary transforms; frequency domain and spatial domain linear filtering; median and morphological filtering; image smoothing, sharpening and edge detection through linear and nonlinear filtering; color image representation and processing; lossless and lossy image coding techniques and standards, image debluring; imaging geometry, image registration and geometric transformation. Students also learn to implement selected imaging processing algorithms in MATLAB or C-language.

Prerequisite(s): Graduate student status or EE 3054 and MA 3012 .
Also listed under: BE 6223 .
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0