Multiresolution image processing and analysis
type: Item
instance of: scholarly article
title: Multiresolution image processing and analysis
zbMATH Open document ID: 0537.68086
published in: Springer Series in Information Sciences
publication date: 1984-01-01T00:00:00Z
review text: The book is a collection of papers presented at a workshop held in Leesburg, Virginia in July 1982. Methods of multiresolution image processing and analysis are based on a hierarchical data structure that can be obtained from the original image and are called a ''pyramid''. Prof. Rosenfeld, in the leading article of the book, characterizes the pyramid in the following way: ''The simplest type of image pyramid is constructed by repeatedly averaging the image intensities in nonoverlapping 2-by-2 blocks of pixels. Given an input image of size \(2^ n\) by \(2^ n\), applying this process yields a reduced image of size \(2^{n-1}\) by \(2^{n-1}\); and so on. If we imagine images stacked on top of one another, they constitute an exponentially tapering 'pyramid' of images.'' The book is divided into seven parts. In the introductory part, ''Image pyramids and their uses'', an overview of multiresolution data structures and techniques to handle these structures are given. Two basic types of pyramids are defined, the Gaussian Pyramid (multiresolution low-pass filter) and the Laplacian Pyramid (multiresolution bandpass filter) along with other computational tools, methods of image representation, texture analysis as well as the methods of motion analysis of images. The part ''Architectures and systems'' deals with the hierarchical organization of the small processors for bottom-up image analysis, automated generation of recognition strategies, and practical aspects of developing a multiresolution image processing computer. In the part III, ''Modelling, processing and segmentation'', the time series models for representing multiresolution images, node linking strategies in pyramids for image segmentation, multilevel image reconstruction and SIMD cellular array pyramid machines are discussed. The problems of feature and shape analysis, region representation and surface analysis are covered in parts IV and V. Analysis of time-varying images and dynamic scene analysis is introduced …
reviewed by: E.Tschernoster
Mathematics Subject Classification ID: 68T10
Mathematics Subject Classification ID: 68U20
Mathematics Subject Classification ID: 68U99
zbMATH DE Number: 3854459
zbMATH Keywords: image processing
zbMATH Keywords: hierarchical data structure
zbMATH Keywords: image pyramid
zbMATH Keywords: multiresolution
zbMATH Keywords: image representation
zbMATH Keywords: texture analysis
zbMATH Keywords: motion analysis
zbMATH Keywords: image analysis
zbMATH Keywords: segmentation
zbMATH Keywords: time series models
zbMATH Keywords: image reconstruction
zbMATH Keywords: shape analysis
zbMATH Keywords: region representation
zbMATH Keywords: surface analysis
zbMATH Keywords: time-varying images
zbMATH Keywords: scene analysis
zbMATH Keywords: multiresolution microscopy
zbMATH Keywords: two-resolution detection
MaRDI profile type: Publication
Recommended article: Image Processing and Data Analysis
Recommended article: Q4222723
Recommended article: Q3653241
Recommended article: Multiresolution Approach to Processing Images for Different Applications
Recommended article: Scale Space and PDE Methods in Computer Vision
Recommended article: Q4281875
Recommended article: Q4338441
Recommended article: Multiresolution filtering with application to image segmentation
Recommended article: Advancements in multiresolution analysis
description: scientific article; zbMATH DE number 3854459