Sparse Image and Signal Processing: Wavelets, Curvelets, Morphological Diversity
This book presents the state of the art in sparse and multiscale image and signal processing, covering linear multiscale transforms, such as wavelet, ridgelet, or curvelet transforms, and non-linear multiscale transforms based on the median and mathematical morphology operators. Recent concepts of sparsity and morphological diversity are...
The Image Processing Handbook, Third Edition Image Processing Handbook covers methods for two different purposes:
improving the visual appearance of images to a human viewer
preparing images for measurement of the features and structures present
The handbook presents an extensive collection of image processing tools, enabling the user of computer-based system to...
Rough Computing: Theories, Technologies and Applications Rough set theory is a new soft computing tool which deals with vagueness and uncertainty. It has attracted the attention of researchers and practitioners worldwide, and has been successfully applied to many fields such as knowledge discovery, decision support, pattern recognition, and machine learning.
Rough Computing: Theories,...
Real Analysis with an Introduction to Wavelets and Applications
Real Analysis is based on the real numbers, and it is naturally
involved in practical mathematics. On the other hand, it has taken on
subject matter from set theory, harmonic analysis, integration theory,
probability theory, theory of partial differential equations, etc., and
has provided these areas with important ideas and... Wavelets and Their Applications (Digital Signal and Image Processing series) Showing how wavelets combine signal in image processing, mathematics, physics, and electrical engineering, this introduction to wavelet technology helps engineers master the basic techniques for using wavelets in such applications as image compression, turbulence, human vision, radar, and earthquake prediction. Among the topics covered are the...
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