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An Image Processing Tour of College Mathematics (Hardcover)
Loot Price: R5,490
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An Image Processing Tour of College Mathematics (Hardcover)
Series: Chapman & Hall/CRC Mathematical and Computational Imaging Sciences Series
Expected to ship within 12 - 19 working days
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An Image Processing Tour of College Mathematics aims to provide
meaningful context for reviewing key topics of the college
mathematics curriculum, to help students gain confidence in using
concepts and techniques of applied mathematics, to increase student
awareness of recent developments in mathematical sciences, and to
help students prepare for graduate studies. The topics covered
include a library of elementary functions, basic concepts of
descriptive statistics, probability distributions of functions of
random variables, definitions and concepts behind first- and
second-order derivatives, most concepts and techniques of
traditional linear algebra courses, an introduction to Fourier
analysis, and a variety of discrete wavelet transforms - all of
that in the context of digital image processing. Features
Pre-calculus material and basic concepts of descriptive statistics
are reviewed in the context of image processing in the spatial
domain. Key concepts of linear algebra are reviewed both in the
context of fundamental operations with digital images and in the
more advanced context of discrete wavelet transforms. Some of the
key concepts of probability theory are reviewed in the context of
image equalization and histogram matching. The convolution
operation is introduced painlessly and naturally in the context of
naive filtering for denoising and is subsequently used for edge
detection and image restoration. An accessible elementary
introduction to Fourier analysis is provided in the context of
image restoration. Discrete wavelet transforms are introduced in
the context of image compression, and the readers become more aware
of some of the recent developments in applied mathematics. This
text helps students of mathematics ease their way into mastering
the basics of scientific computer programming.
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