MATH 345 - Digital Image Processing (Cross-listed as COMP 345, PHYS 345)

Units: 3
Three hours lecture in the lab per week
Prerequisite: Junior Standing or Consent of Instructor
An introduction to the basic concepts and techniques for digital image restoration and enhancement, analysis, coding, and compression. The emphasis is on processes which analyze primarily two-dimensional discrete images represented at the pixel level, including filtering, noise reduction, and segmentation. Fourier analysis techniques will be explored. Programming exercises will be used to implement the various processes, and their performance on synthetic and real images will be studied.
Same as: COMP 345 , PHYS 345

GenEd: UDGE-B
CI Mission Category(s): Interdisciplinary Approaches