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An Efficient Defocus Blur Segmentation Scheme Based on Hybrid LTP and PCNN

An Efficient Defocus Blur Segmentation Scheme Based on Hybrid LTP and PCNN

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3e40b483f77a4f5e85f3596b16d2fcbd

An Efficient Defocus Blur Segmentation Scheme Based on Hybrid LTP and PCNN

About this item

Full title

An Efficient Defocus Blur Segmentation Scheme Based on Hybrid LTP and PCNN

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2022-04, Vol.22 (7), p.2724

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

The defocus or motion effect in images is one of the main reasons for the blurry regions in digital images. It can affect the image artifacts up to some extent. However, there is a need for automatic defocus segmentation to separate blurred and sharp regions to extract the information about defocus-blur objects in some specific areas, for example,...

Alternative Titles

Full title

An Efficient Defocus Blur Segmentation Scheme Based on Hybrid LTP and PCNN

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_3e40b483f77a4f5e85f3596b16d2fcbd

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3e40b483f77a4f5e85f3596b16d2fcbd

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s22072724

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