Digital Image Processing
| Hours: 3 0 3 |
|---|
Introduction to digital image processing techniques for enhancement, compression, restoration, reconstruction, and analysis; 2-D signals and systems; sampling and scanning; random fields; discrete Karhunen-Loewe transform; grayscale transformations; linear, ranked order, and morphological filters; human vision; printing and display of images; entropy-based compression; vector quantization; block truncation coding; transform coding; predicative coding; image degradation models; Wiener filter; constrained deconvolution; computed topography; edge detection; shape representation and segmentation.
| Pre-requisites: none | Co-requisites: none |
|---|
Hours: XYZ where X = Lecture, Y = Lab, Z = Credit
All hours are per week.
3 Lab hours constitute 1 credit hour
1 credit hour implies 1 lecture of 50mins per academic week. 16 weeks in total.
Pre-Requisite courses are courses required to be completed before this course may be taken
Co-Requisite courses are courses required to be taken along with this course
