Metric for multimodal image sensor fusion

N Cvejic; DR Bull; CN Canagarajah

doi:10.1049/el:20073460

Metric for multimodal image sensor fusion

N Cvejic
, DR Bull
, CN Canagarajah

Research output: Contribution to journal › Article (Academic Journal) › peer-review

15 Citations (Scopus)

Abstract

A novel objective non-reference metric for multimodal image sensor fusion is presented. Using the joint segmentation of the input images and entropy of the regions as the priority, an `ideal' fused image is obtained. The metric is based on computing how accurately the important regions from the input images are transferred into the fused image. Experiments have shown that the obtained metric values correspond better to the subjective quality of the fused images than other state-of-the-art fusion metrics.

Translated title of the contribution	Metric for multimodal image sensor fusion
Original language	English
Pages (from-to)	95 - 96
Number of pages	2
Journal	Electronics Letters
Volume	43
Issue number	2
DOIs	https://doi.org/10.1049/el:20073460
Publication status	Published - Jan 2007

Bibliographical note

Publisher: Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Rose publication type: Journal article

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title = "Metric for multimodal image sensor fusion",

abstract = "A novel objective non-reference metric for multimodal image sensor fusion is presented. Using the joint segmentation of the input images and entropy of the regions as the priority, an `ideal' fused image is obtained. The metric is based on computing how accurately the important regions from the input images are transferred into the fused image. Experiments have shown that the obtained metric values correspond better to the subjective quality of the fused images than other state-of-the-art fusion metrics.",

author = "N Cvejic and DR Bull and CN Canagarajah",

note = "Publisher: Institute of Electrical and Electronics Engineers, Inc. (IEEE) Rose publication type: Journal article ",

year = "2007",

month = jan,

doi = "10.1049/el:20073460",

language = "English",

volume = "43",

pages = "95 -- 96",

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AU - Bull, DR

AU - Canagarajah, CN

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PY - 2007/1

Y1 - 2007/1

N2 - A novel objective non-reference metric for multimodal image sensor fusion is presented. Using the joint segmentation of the input images and entropy of the regions as the priority, an `ideal' fused image is obtained. The metric is based on computing how accurately the important regions from the input images are transferred into the fused image. Experiments have shown that the obtained metric values correspond better to the subjective quality of the fused images than other state-of-the-art fusion metrics.

AB - A novel objective non-reference metric for multimodal image sensor fusion is presented. Using the joint segmentation of the input images and entropy of the regions as the priority, an `ideal' fused image is obtained. The metric is based on computing how accurately the important regions from the input images are transferred into the fused image. Experiments have shown that the obtained metric values correspond better to the subjective quality of the fused images than other state-of-the-art fusion metrics.

U2 - 10.1049/el:20073460

DO - 10.1049/el:20073460

M3 - Article (Academic Journal)

SN - 1350-911X

VL - 43

SP - 95

EP - 96

JO - Electronics Letters

JF - Electronics Letters

IS - 2

ER -

Metric for multimodal image sensor fusion

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