Visual information plays an important role in almost all areas of our life. Today, much of this information is represented and processed digitally. Digital image processing is ubiquitous, with applications ranging from television to tomography, from photography to printing, from robotics to remote sensing.
EE368 is a graduate-level introductory course to the fundamentals of digital image processing. It emphasizes general principles of image processing, rather than specific applications. We expect to cover topics such as image acquistion and display, properties of the human visual system, color representations, sampling and quantization, point operations, linear image filtering and correlation, transforms and subband decompositions, and nonlinear filtering, contrast and color enhancement, dithering, and image restoration, image registration, and simple feature extraction and recognition tasks.
Expect EE368 to be offered each year. Note that we will NOT cover compression in EE368. Image and Video Compression will be discussed in EE 398A/B.
Lectures will be complemented by computer exercises where students develop their own image processing algorithms.
Last modified: 03/31/2008