Nov 27, 2024  
2019-2020 Undergraduate Catalog 
    
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2019-2020 Undergraduate 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. The course will place equal emphasis on the mathematical ideas and their applications.

Requisites
Prerequisite: MATH 220.

Typically Offered
Spring

K-State 8
None


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