Fusion methods based on dynamic-segmented morphological wavelet or cut and paste for multifocus images
type: Item
instance of: scholarly article
title: Fusion methods based on dynamic-segmented morphological wavelet or cut and paste for multifocus images
zbMATH Open document ID: 1186.94209
author: Phen-Lan Lin
author: Po-Ying Huang
published in: Signal Processing
publication date: 2010-05-19T00:00:00Z
Mathematics Subject Classification ID: 94A12
zbMATH DE Number: 5709618
zbMATH Keywords: morphological wavelet
zbMATH Keywords: image fusion
zbMATH Keywords: spectrum energy
zbMATH Keywords: multifocus image
MaRDI profile type: Publication
full work available at URL: j.sigpro.2007.12.018
OpenAlex ID: W1998678264
DOI: 10.1016/J.SIGPRO.2007.12.018
Recommended article: A simple and efficient algorithm for multifocus image fusion using morphological wavelets
Recommended article: Q3403490
Recommended article: Q4640542
Recommended article: A new multiwavelet-based approach to image fusion
Recommended article: Q4996539
Recommended article: Q3169730
Recommended article: Optimal fusion of multi-focus image: Integrating WNMF and focal point analysis
Recommended article: Multifocus image fusion using the nonsubsampled contourlet transform
Recommended article: Two-scale decomposition-based multifocus image fusion framework combined with image morphology and fuzzy set theory
description: scientific article; zbMATH DE number 5709618