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Digital Image ProcessingSpring 2001
Lecturer: Fr. Don Matthys, S.J., Professor of Physics and EECE,
Office WW315 This course will present the fundamental background required for working with digital images: acquisition, processing, and storage. The advantages and disadvantages of digital images will be discussed, as well as the effect of digital resolution, both spatial and chromatic, on image quality.  After the presentation of the basic characteristics
of digital images and methods of obtaining them, procedures for enhancing and restoring images will be
introduced. Images are generally modified in order to enhance visual examination or to enable measurements
from the images. These different goals generally require different procedures.
These procedures include the application
of various transforms to images, the utilization of histogram data from images, the application of high and low
pass filters in both the spatial and the frequency domains, and obtaining segmentation data
by determining image lines, edges, and regions.The characteristics of different color domains (RGB,
CMY, HSI, etc.) will be covered, as
well as the application of pseudo-color techniques to enhance the
interpretation of image data. Finally,
the problem of image storage requirements and the basic techniques of
compression, both lossless and lossy, will be discussed in the lectures. All students are assumed to have access to a PC and will use an image processing program throughout the semester to apply to selected images the various concepts being covered in class.
Students are expected to have a mathematical
background up to and including Fourier
transforms, and a knowledge of optics equivalent to the basic material covered
in an introductory physics survey course. Last modified on January 12, 2001 |
