Wavelet Analysis with Applications to Image Processing
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A01=Lakshman Prasad
A01=S. Sitharama Iyengar
Author_Lakshman Prasad
Author_S. Sitharama Iyengar
Bessel's Inequality
Bessel’s Inequality
Borel Set
Category=UYS
Category=UYT
Cauchy Sequence
Complete Orthonormal System
Countable Sets
Dense Subset
digital image enhancement
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Euclidean Space
Fourier analysis
functional analysis
Fundamental Sequence
Hilbert Space
Hilbert spaces
Image Processing
image processing algorithms
Lebesgue Integral
Lebesgue's Dominated Convergence Theorem
Lebesgue’s Dominated Convergence Theorem
Linear Space
linear spaces
mathematical foundations
Measurable Functions
Measurable Set
Metric Space
Normed Linear Space
Orthogonal System
Orthonormal System
Real Linear Space
Real Valued Function
Riemann Integral
Riesz Fischer Theorem
signal decomposition
Simple Functions
transform methods
Uncountable Set
undergraduate mathematics
wavelet transform applications in imaging
wavelet transforms
Product details
- ISBN 9780849331695
- Weight: 612g
- Dimensions: 156 x 234mm
- Publication Date: 16 Jun 1997
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
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Wavelet analysis is among the newest additions to the arsenals of mathematicians, scientists, and engineers, and offers common solutions to diverse problems. However, students and professionals in some areas of engineering and science, intimidated by the mathematical background necessary to explore this subject, have been unable to use this powerful tool.
The first book on the topic for readers with minimal mathematical backgrounds, Wavelet Analysis with Applications to Image Processing provides a thorough introduction to wavelets with applications in image processing. Unlike most other works on this subject, which are often collections of papers or research advances, this book offers students and researchers without an extensive math background a step-by-step introduction to the power of wavelet transforms and applications to image processing.
The first four chapters introduce the basic topics of analysis that are vital to understanding the mathematics of wavelet transforms. Subsequent chapters build on the information presented earlier to cover the major themes of wavelet analysis and its applications to image processing. This is an ideal introduction to the subject for students, and a valuable reference guide for professionals working in image processing.
Prasad\, Lakshman; Iyengar\, S. Sitharama
