Abstract
The concept of multiresolution is intuitively related to the study of signals or images at different levels of resolution almost like a pyramid. The resolution of a signal is a qualitative description associated with its frequency content. For a low-pass signal, the lower its frequency content (the narrower the bandwidth), the coarser is its resolution. In signal processing, a low-pass and subsampled version of a signal is usually a good coarse approximation for many real world signals. Multiresolution is especially evident in image processing and computer vision, where coarse versions of an image are often used as a first approximation in computational algorithms.
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© 2002 Springer Science+Business Media New York
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Debnath, L. (2002). Multiresolution Analysis and Construction of Wavelets. In: Wavelet Transforms and Their Applications. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-1-4612-0097-0_7
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DOI: https://doi.org/10.1007/978-1-4612-0097-0_7
Publisher Name: Birkhäuser, Boston, MA
Print ISBN: 978-1-4612-6610-5
Online ISBN: 978-1-4612-0097-0
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