Apr 18, 2024  
2017-2018 Graduate Catalog 
    
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2017-2018 Graduate Catalog [ARCHIVED CATALOG]

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MATH 615 - Introduction to Digital Image Processing

Credits: 3

The basic ideas and techniques in digital image processing stem from mathematics, engineering, and computer science. This course focuses on ideas and techniques such as spatial filtering, frequency filtering (Fast Fourier Transform), scale filtering (Fast Wavelet Transform), and their applications to image compression standards and image recognition. This course will place equal emphasis on the mathematical ideas and their applications.

Requisites:
Prerequisite: MATH 220.

Typically Offered
Spring


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