Overview
- Describes a mathematical model to predict the errors introduced in the implementation of the discrete wavelet transform (DWT) on fixed-point processors
- Explores the application of DWT on benchmark signals and images in terms of denoising
- Proposes a modified threshold selection and thresholding scheme
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)
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Table of contents (6 chapters)
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Bibliographic Information
Book Title: Efficient Algorithms for Discrete Wavelet Transform
Book Subtitle: With Applications to Denoising and Fuzzy Inference Systems
Authors: K. K. Shukla, Arvind K. Tiwari
Series Title: SpringerBriefs in Computer Science
DOI: https://doi.org/10.1007/978-1-4471-4941-5
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer-Verlag London Ltd., part of Springer Nature 2013
Softcover ISBN: 978-1-4471-4940-8Published: 07 February 2013
eBook ISBN: 978-1-4471-4941-5Published: 26 January 2013
Series ISSN: 2191-5768
Series E-ISSN: 2191-5776
Edition Number: 1
Number of Pages: IX, 91
Number of Illustrations: 15 b/w illustrations, 31 illustrations in colour
Topics: Image Processing and Computer Vision, Signal, Image and Speech Processing, Algorithm Analysis and Problem Complexity