Multiresolution Markov models for signal and image processing

Multiresolution Markov Models for Signal

📁 Multiresolution Markov Models for Signal and Image Processing

✍ Wilsky A.S. 📂 Library 📅 2000 🌐 English

This paper reviews a significant component of the rich field of statistical multiresolution (MR) modeling and processing. These MR methods have found application and permeated the literature of a widely scattered set of disciplines, and one of our principal objectives is to present a single, coheren

Signal and Image Multiresolution Analysi

📁 Signal and Image Multiresolution Analysis

✍ Francis Castanie(eds.) 📂 Library 📅 2012 🏛 Wiley-ISTE 🌐 English

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

Signal and Image Multiresolution Analysi

📁 Signal and Image Multiresolution Analysis

✍ Abdelialil Ouahabi 📂 Library 📅 2012 🏛 Wiley-ISTE 🌐 English

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

Multiresolution Image Processing and Ana

📁 Multiresolution Image Processing and Analysis

✍ A. Rosenfeld (auth.), Professor Azriel Rosenfeld (eds.) 📂 Library 📅 1984 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

This book results from a Workshop on Multiresolution Image Processing and Analysis, held in Leesburg, VA on July 19-21, 1982. It contains updated ver sions of most of the papers that were presented at the Workshop, as well as new material added by the authors. Four of the presented papers were n

Signal Processing and Image Processing f

📁 Signal Processing and Image Processing for Acoustical Imaging

✍ Woon Siong Gan 📂 Library 📅 2020 🏛 Springer 🌐 English

This book discusses the applications of signal and image processing in acoustical imaging. It first describes the basic tools involved – the 2D transform, fast Fourier transform (FFT) and applications, and deconvolution – before introducing readers to higher-order statistics, wavelet

Random Processes for Image and Signal Pr

📁 Random Processes for Image and Signal Processing

✍ Edward R. Dougherty 📂 Library 📅 1998 🏛 SPIE Publications 🌐 English

Part of the SPIE/IEEE Series on Imaging Science and Engineering. This book provides a framework for understanding the ensemble of temporal, spatial, and higher-dimensional processes in science and engineering that vary randomly in observations. Suitable as a text for undergraduate and graduate stude