Reports for Autumn 2013-2014

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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/CS232 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 point operations, color processing, image thresholding/segmentation, morphological image processing, image filtering and deconvolution, eigenimages, noise reduction and restoration, scale-space techniques, feature extraction and recognition, image registration, and image matching. 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.


Type of resource software, multimedia
Date created December 2013


Author Girod, Bernd
Author Chen, David
Author Yu, Matt


Subject digital image processing
Subject mobile image processing
Genre Dataset

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Digital Image Processing, Stanford University


Multimedia Files for Digital Image Processing Class at Stanford

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