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Entropy-Based Image Fusion with Joint Sparse Representation and Rolling Guidance Filter

Entropy-Based Image Fusion with Joint Sparse Representation and Rolling Guidance Filter

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_fdaef8863fbb4fce93e2c3fac1edc86c

Entropy-Based Image Fusion with Joint Sparse Representation and Rolling Guidance Filter

About this item

Full title

Entropy-Based Image Fusion with Joint Sparse Representation and Rolling Guidance Filter

Publisher

Basel: MDPI AG

Journal title

Entropy (Basel, Switzerland), 2020-01, Vol.22 (1), p.118

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Image fusion is a very practical technology that can be applied in many fields, such as medicine, remote sensing and surveillance. An image fusion method using multi-scale decomposition and joint sparse representation is introduced in this paper. First, joint sparse representation is applied to decompose two source images into a common image and tw...

Alternative Titles

Full title

Entropy-Based Image Fusion with Joint Sparse Representation and Rolling Guidance Filter

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_fdaef8863fbb4fce93e2c3fac1edc86c

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_fdaef8863fbb4fce93e2c3fac1edc86c

Other Identifiers

ISSN

1099-4300

E-ISSN

1099-4300

DOI

10.3390/e22010118

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