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Multiresolution analysis using the wavelet transform has received considerable attention in recent years by researchers in various fields. It is a powerful tool for efficiently representing signals and images at multiple levels of detail with many inherent advantages, including compression, level-of-detail display, progressive transmission, level-of-detail editing, filtering, modeling, fractals and multifractals, etc. This book aims to provide...

The persistence of noise in imaging technologies has been one of the greatest challenges to the developments of digital imaging technologies in modern medicine, such as MRIs. This text conveys the usefulness of wavelets in compact signal and image representations to denoise images and improve compression and feature detection processing. Standard imaging techniques are largely successful in modern medical practices, and denoising only aids the...