View in EDS PDF Full Text

Contrast Enhancement of Illumination Layer Image using Optimized Subsection-based Histogram Equalization.

Saved in:
Bibliographic Details
Title: Contrast Enhancement of Illumination Layer Image using Optimized Subsection-based Histogram Equalization.
Authors: Yongxin Wang1,2 langfei@hrbust.edu.cn, Ming Diao1, Haibin Wu1
Source: International Journal of Performability Engineering. Nov2018, Vol. 14 Issue 11, p2624-2632. 9p.
Subjects: Underwater imaging systems, Optical oceanography, Lighting, Image quality analysis, Histograms
Abstract: A key problem of underwater image sharpening is to improve image contrast while retaining image detail. The retinex model is used to obtain the illumination and detail layer images. The histogram of the illumination layer image is divided into under-exposure subsection and over-exposure subsection by using the maximum interclass variance method, and the histogram subsections are equalized separately. The above process of histogram dividing and equalization is repeated until the difference between adjacent thresholds for dividing histogram subsections reaches its optimal value. This enhances the contrast of the illumination layer image. As a result, our contrast enhancement method of illumination layer image using optimized histogram subsection based histogram equalization is formed. Furthermore, by multiplying the enhanced contrast of illumination layer image with the original detail layer image, the contrast of underwater image is enhanced and its original details are retained. Some evaluations, e.g. information entropy and mean structure similarity, are examined to show that the underwater image quality is improved appropriately. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Performability Engineering is the property of Totem Publisher, Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 134541706
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Contrast Enhancement of Illumination Layer Image using Optimized Subsection-based Histogram Equalization.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Yongxin+Wang%22">Yongxin Wang</searchLink><relatesTo>1,2</relatesTo><i> langfei@hrbust.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Ming+Diao%22">Ming Diao</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Haibin+Wu%22">Haibin Wu</searchLink><relatesTo>1</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Performability+Engineering%22">International Journal of Performability Engineering</searchLink>. Nov2018, Vol. 14 Issue 11, p2624-2632. 9p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Underwater+imaging+systems%22">Underwater imaging systems</searchLink><br /><searchLink fieldCode="DE" term="%22Optical+oceanography%22">Optical oceanography</searchLink><br /><searchLink fieldCode="DE" term="%22Lighting%22">Lighting</searchLink><br /><searchLink fieldCode="DE" term="%22Image+quality+analysis%22">Image quality analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Histograms%22">Histograms</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: A key problem of underwater image sharpening is to improve image contrast while retaining image detail. The retinex model is used to obtain the illumination and detail layer images. The histogram of the illumination layer image is divided into under-exposure subsection and over-exposure subsection by using the maximum interclass variance method, and the histogram subsections are equalized separately. The above process of histogram dividing and equalization is repeated until the difference between adjacent thresholds for dividing histogram subsections reaches its optimal value. This enhances the contrast of the illumination layer image. As a result, our contrast enhancement method of illumination layer image using optimized histogram subsection based histogram equalization is formed. Furthermore, by multiplying the enhanced contrast of illumination layer image with the original detail layer image, the contrast of underwater image is enhanced and its original details are retained. Some evaluations, e.g. information entropy and mean structure similarity, are examined to show that the underwater image quality is improved appropriately. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Performability Engineering is the property of Totem Publisher, Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=134541706
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.23940/ijpe.18.11.p8.26242632
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 9
        StartPage: 2624
    Subjects:
      – SubjectFull: Underwater imaging systems
        Type: general
      – SubjectFull: Optical oceanography
        Type: general
      – SubjectFull: Lighting
        Type: general
      – SubjectFull: Image quality analysis
        Type: general
      – SubjectFull: Histograms
        Type: general
    Titles:
      – TitleFull: Contrast Enhancement of Illumination Layer Image using Optimized Subsection-based Histogram Equalization.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Yongxin Wang
      – PersonEntity:
          Name:
            NameFull: Ming Diao
      – PersonEntity:
          Name:
            NameFull: Haibin Wu
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 11
              Text: Nov2018
              Type: published
              Y: 2018
          Identifiers:
            – Type: issn-print
              Value: 09731318
          Numbering:
            – Type: volume
              Value: 14
            – Type: issue
              Value: 11
          Titles:
            – TitleFull: International Journal of Performability Engineering
              Type: main
ResultId 1