This book introduces 2-D wavelets via 1-D continuous wavelet transforms. The authors then describe the underlying mathematics before progressing to more advanced topics such as matrix geometry of wavelet analysis and three-dimensional wavelets. Practical applications and illustrative examples are employed extensively throughout ensuring the book''s value to engineers physicists and mathematicians. Two-dimensional wavelets offer a number of advantages over discrete wavelet transforms in particular for analysis of real-time signals in such areas as medical imaging fluid dynamics shape recognition image enhancement and target tracking.
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