Image fusion by using steerable pyramid

Z. Liu; K. Tsukada; K. Hanasaki; Y. K. Ho; Y. P. Dai

doi:10.1016/S0167-8655(01)00047-2

Image fusion by using steerable pyramid

Z. Liu^*
, K. Tsukada
, K. Hanasaki
, Y. K. Ho
, Y. P. Dai

^*Corresponding author for this work

School of Automation

Nanyang Technological University
National Research Council of Canada
Kyoto University

Research output: Contribution to journal › Article › peer-review

191 Citations (Scopus)

Abstract

This paper investigates a method for two-dimensional image fusion based on a novel multi-resolution transform called steerable pyramids. Such a transform combines the multi-scale decomposition with differential measurements, which is very useful for feature extraction. An iterative fusion scheme is introduced.

Original language	English
Pages (from-to)	929-939
Number of pages	11
Journal	Pattern Recognition Letters
Volume	22
Issue number	9
DOIs	https://doi.org/10.1016/S0167-8655(01)00047-2
Publication status	Published - Jul 2001

Keywords

Feature extraction
Multi-resolution analysis
Steerable pyramid
Two-dimensional image fusion

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10.1016/S0167-8655(01)00047-2

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title = "Image fusion by using steerable pyramid",

abstract = "This paper investigates a method for two-dimensional image fusion based on a novel multi-resolution transform called steerable pyramids. Such a transform combines the multi-scale decomposition with differential measurements, which is very useful for feature extraction. An iterative fusion scheme is introduced.",

keywords = "Feature extraction, Multi-resolution analysis, Steerable pyramid, Two-dimensional image fusion",

author = "Z. Liu and K. Tsukada and K. Hanasaki and Ho, \{Y. K.\} and Dai, \{Y. P.\}",

year = "2001",

month = jul,

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AU - Liu, Z.

AU - Tsukada, K.

AU - Hanasaki, K.

AU - Ho, Y. K.

AU - Dai, Y. P.

PY - 2001/7

Y1 - 2001/7

N2 - This paper investigates a method for two-dimensional image fusion based on a novel multi-resolution transform called steerable pyramids. Such a transform combines the multi-scale decomposition with differential measurements, which is very useful for feature extraction. An iterative fusion scheme is introduced.

AB - This paper investigates a method for two-dimensional image fusion based on a novel multi-resolution transform called steerable pyramids. Such a transform combines the multi-scale decomposition with differential measurements, which is very useful for feature extraction. An iterative fusion scheme is introduced.

KW - Feature extraction

KW - Multi-resolution analysis

KW - Steerable pyramid

KW - Two-dimensional image fusion

UR - https://www.scopus.com/pages/publications/0035395828

U2 - 10.1016/S0167-8655(01)00047-2

DO - 10.1016/S0167-8655(01)00047-2

M3 - Article

AN - SCOPUS:0035395828

SN - 0167-8655

VL - 22

SP - 929

EP - 939

JO - Pattern Recognition Letters

JF - Pattern Recognition Letters

IS - 9

ER -

Image fusion by using steerable pyramid

Abstract

Keywords

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