View in EDS

Optimized Contrast Enhancement for Infrared Images Based on Global and Local Histogram Specification

Saved in:
Bibliographic Details
Title: Optimized Contrast Enhancement for Infrared Images Based on Global and Local Histogram Specification
Authors: Chengwei Liu, Xiubao Sui, Xiaodong Kuang, Yuan Liu, Guohua Gu, Qian Chen
Source: Remote Sensing, Vol 11, Iss 7, p 849 (2019)
Publisher Information: MDPI AG
Publication Year: 2019
Collection: Directory of Open Access Journals: DOAJ Articles
Subject Terms: 2D histogram, histogram specification, optimization equation, contrast enhancement, Science
Description: In this paper, an optimized contrast enhancement method combining global and local enhancement results is proposed to improve the visual quality of infrared images. Global and local contrast enhancement methods have their merits and demerits, respectively. The proposed method utilizes the complementary characteristics of these two methods to achieve noticeable contrast enhancement without artifacts. In our proposed method, the 2D histogram, which contains both global and local gray level distribution characteristics of the original image, is computed first. Then, based on the 2D histogram, the global and local enhanced results are obtained by applying histogram specification globally and locally. Lastly, the enhanced result is computed by solving an optimization equation subjected to global and local constraints. The pixel-wise regularization parameters for the optimization equation are adaptively determined based on the edge information of the original image. Thus, the proposed method is able to enhance the local contrast while preserving the naturalness of the original image. Qualitative and quantitative evaluation results demonstrate that the proposed method outperforms the block-based methods for improving the visual quality of infrared images.
Document Type: article in journal/newspaper
Language: English
Relation: https://www.mdpi.com/2072-4292/11/7/849; https://doaj.org/toc/2072-4292; https://doaj.org/article/f99c7d5df8ab41719a23b44b61a46504
DOI: 10.3390/rs11070849
Availability: https://doi.org/10.3390/rs11070849
https://doaj.org/article/f99c7d5df8ab41719a23b44b61a46504
Accession Number: edsbas.AF64091C
Database: BASE
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://doi.org/10.3390/rs11070849#
    Name: EDS - BASE (s4221598)
    Category: fullText
    Text: View record from BASE
  – Url: https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=EBSCO&SrcAuth=EBSCO&DestApp=WOS&ServiceName=TransferToWoS&DestLinkType=GeneralSearchSummary&Func=Links&author=Liu%20C
    Name: ISI
    Category: fullText
    Text: Nájsť tento článok vo Web of Science
    Icon: https://imagesrvr.epnet.com/ls/20docs.gif
    MouseOverText: Nájsť tento článok vo Web of Science
Header DbId: edsbas
DbLabel: BASE
An: edsbas.AF64091C
RelevancyScore: 893
AccessLevel: 3
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 892.664306640625
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Optimized Contrast Enhancement for Infrared Images Based on Global and Local Histogram Specification
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Chengwei+Liu%22">Chengwei Liu</searchLink><br /><searchLink fieldCode="AR" term="%22Xiubao+Sui%22">Xiubao Sui</searchLink><br /><searchLink fieldCode="AR" term="%22Xiaodong+Kuang%22">Xiaodong Kuang</searchLink><br /><searchLink fieldCode="AR" term="%22Yuan+Liu%22">Yuan Liu</searchLink><br /><searchLink fieldCode="AR" term="%22Guohua+Gu%22">Guohua Gu</searchLink><br /><searchLink fieldCode="AR" term="%22Qian+Chen%22">Qian Chen</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: Remote Sensing, Vol 11, Iss 7, p 849 (2019)
– Name: Publisher
  Label: Publisher Information
  Group: PubInfo
  Data: MDPI AG
– Name: DatePubCY
  Label: Publication Year
  Group: Date
  Data: 2019
– Name: Subset
  Label: Collection
  Group: HoldingsInfo
  Data: Directory of Open Access Journals: DOAJ Articles
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%222D+histogram%22">2D histogram</searchLink><br /><searchLink fieldCode="DE" term="%22histogram+specification%22">histogram specification</searchLink><br /><searchLink fieldCode="DE" term="%22optimization+equation%22">optimization equation</searchLink><br /><searchLink fieldCode="DE" term="%22contrast+enhancement%22">contrast enhancement</searchLink><br /><searchLink fieldCode="DE" term="%22Science%22">Science</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: In this paper, an optimized contrast enhancement method combining global and local enhancement results is proposed to improve the visual quality of infrared images. Global and local contrast enhancement methods have their merits and demerits, respectively. The proposed method utilizes the complementary characteristics of these two methods to achieve noticeable contrast enhancement without artifacts. In our proposed method, the 2D histogram, which contains both global and local gray level distribution characteristics of the original image, is computed first. Then, based on the 2D histogram, the global and local enhanced results are obtained by applying histogram specification globally and locally. Lastly, the enhanced result is computed by solving an optimization equation subjected to global and local constraints. The pixel-wise regularization parameters for the optimization equation are adaptively determined based on the edge information of the original image. Thus, the proposed method is able to enhance the local contrast while preserving the naturalness of the original image. Qualitative and quantitative evaluation results demonstrate that the proposed method outperforms the block-based methods for improving the visual quality of infrared images.
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: article in journal/newspaper
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: NoteTitleSource
  Label: Relation
  Group: SrcInfo
  Data: https://www.mdpi.com/2072-4292/11/7/849; https://doaj.org/toc/2072-4292; https://doaj.org/article/f99c7d5df8ab41719a23b44b61a46504
– Name: DOI
  Label: DOI
  Group: ID
  Data: 10.3390/rs11070849
– Name: URL
  Label: Availability
  Group: URL
  Data: https://doi.org/10.3390/rs11070849<br />https://doaj.org/article/f99c7d5df8ab41719a23b44b61a46504
– Name: AN
  Label: Accession Number
  Group: ID
  Data: edsbas.AF64091C
PLink https://erproxy.cvtisr.sk/sfx/access?url=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.AF64091C
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/rs11070849
    Languages:
      – Text: English
    Subjects:
      – SubjectFull: 2D histogram
        Type: general
      – SubjectFull: histogram specification
        Type: general
      – SubjectFull: optimization equation
        Type: general
      – SubjectFull: contrast enhancement
        Type: general
      – SubjectFull: Science
        Type: general
    Titles:
      – TitleFull: Optimized Contrast Enhancement for Infrared Images Based on Global and Local Histogram Specification
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Chengwei Liu
      – PersonEntity:
          Name:
            NameFull: Xiubao Sui
      – PersonEntity:
          Name:
            NameFull: Xiaodong Kuang
      – PersonEntity:
          Name:
            NameFull: Yuan Liu
      – PersonEntity:
          Name:
            NameFull: Guohua Gu
      – PersonEntity:
          Name:
            NameFull: Qian Chen
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2019
          Identifiers:
            – Type: issn-locals
              Value: edsbas
            – Type: issn-locals
              Value: edsbas.oa
          Titles:
            – TitleFull: Remote Sensing, Vol 11, Iss 7, p 849 (2019
              Type: main
ResultId 1