00000cam a22000003i 4500 UP-1685594773862485963 Buklod 20230816141157.0 m | | ta 230816s2021 flua rb |001 0|eng d 9780367694487 (pbk) (iLib)UPBAG-00047266866 BC-73372 SERV Enterprises Php4,742.00 Department of Mathematics and Computer Science DLC BAG rda eng QA 76.95 G35 2021 Galperin, Yevgeniy V. author. An image processing tour of college mathematics Yevgeniy V. Galperin. Boca Raton, FL CRC Press, an imprint of the Taylor & Francis Group 2021. xi, 336 pages illustrations 24 cm text rdacontent unmediated rdamedia volume rdacarrier Chapman & Hall/CRC mathematical and computational imaging sciences series "A Chapman & Hall book" Includes bibliographical references and index. "An Image Processing Tour of College Mathematics aims to provide meaningful context for reviewing key topics of college mathematics curriculum, to help students gain confidence in using concepts and techniques of applied mathematics, to increase the students' 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 naïve 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. The text helps students of mathematics ease their way into mastering the basics of scientific computer programming."--Provided by publisher. Mathematics Data processing. Image processing. FO UPBAG UPBAG-MAIN QA 76.95 G35 2021 Book