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Mapping and Deep Analysis of Image Dehazing: Coherent Taxonomy, Datasets, Open Challenges, Motivatio...

Mapping and Deep Analysis of Image Dehazing: Coherent Taxonomy, Datasets, Open Challenges, Motivatio...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_18c61ede3a9c4cd2be6b63c959766d35

Mapping and Deep Analysis of Image Dehazing: Coherent Taxonomy, Datasets, Open Challenges, Motivations, and Recommendations

About this item

Full title

Mapping and Deep Analysis of Image Dehazing: Coherent Taxonomy, Datasets, Open Challenges, Motivations, and Recommendations

Publisher

IMAI Software

Journal title

International journal of interactive multimedia and artificial intelligence, 2021-12, Vol.7 (2), p.172-198

Language

English

Formats

Publication information

Publisher

IMAI Software

More information

Scope and Contents

Contents

Our study aims to review and analyze the most relevant studies in the image dehazing field. Many aspects have been deemed necessary to provide a broad understanding of various studies that have been examined through surveying the existing literature. These aspects are as follows: datasets that have been used in the literature, challenges that other...

Alternative Titles

Full title

Mapping and Deep Analysis of Image Dehazing: Coherent Taxonomy, Datasets, Open Challenges, Motivations, and Recommendations

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_18c61ede3a9c4cd2be6b63c959766d35

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_18c61ede3a9c4cd2be6b63c959766d35

Other Identifiers

ISSN

1989-1660

E-ISSN

1989-1660

DOI

10.9781/ijimai.2021.11.009

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