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Digital Image Processing Home Class Information Class Schedule Handouts Project for Spring 2012 Project for Spring 2011 Project for Spring 2010 Project for Spring 2008 Project for Spring 2007 Project for Spring 2006 Project for Spring 2004 Project for Spring 2003 SCIEN Test Images MATLAB Tutorials Android Tutorials |
Spring 2011-2012 Prof. Bernd Girod Course Description 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 sampling and quantization, color, point operations, segmentation, morphological image processing, linear image filtering and correlation, image transforms, eigenimages, multiresolution image processing, wavelets, noise reduction and restoration, feature extraction and recognition tasks, and image registration. 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. For the term project, students will have the option of designing and implementing image processing algorithms on an Android mobile device. Recent Updates
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