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Infrared image enhancement using adaptive trilateral contrast enhancement.

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Title: Infrared image enhancement using adaptive trilateral contrast enhancement.
Authors: Tzer Yuan, Lo1, Kok Swee, Sim1 sksbg2003@yahoo.com, Chih Ping, Tso1
Source: Pattern Recognition Letters. Mar2015, Vol. 54, p103-108. 6p.
Subjects: Infrared equipment, Image quality analysis, Quantitative research, Infrared imaging, Entropy, Comparative studies
Abstract: A novel contrast enhancement method called adaptive trilateral contrast enhancement (ATCE) method is presented. Unlike conventional methods which exaggerate the contrast difference between fore- and background of an image as a means to improve image visual quality, ATCE method provides a multifaceted approach which involves enhancement of both image contrast and subtle image details. The designation of ``trilateral'' is derived from the working principle of ATCE which utilises three different types of image characteristics, namely, contrast, intensity and sharpness, to concurrently enhance the visual quality of an image. In the experiment on a set of infrared thermal images captured under low-light night time environment, ATCE is evaluated and compared to some existing contrast enhancement methods. The quantitative experimental results show that ATCE significantly surpasses other existing methods on the measure of enhancement by entropy. [ABSTRACT FROM AUTHOR]
Copyright of Pattern Recognition Letters is the property of Elsevier B.V. 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
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DbLabel: Engineering Source
An: 100946873
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: <searchLink fieldCode="JN" term="%22Pattern+Recognition+Letters%22">Pattern Recognition Letters</searchLink>. Mar2015, Vol. 54, p103-108. 6p.
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  Data: <searchLink fieldCode="DE" term="%22Infrared+equipment%22">Infrared equipment</searchLink><br /><searchLink fieldCode="DE" term="%22Image+quality+analysis%22">Image quality analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Quantitative+research%22">Quantitative research</searchLink><br /><searchLink fieldCode="DE" term="%22Infrared+imaging%22">Infrared imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Entropy%22">Entropy</searchLink><br /><searchLink fieldCode="DE" term="%22Comparative+studies%22">Comparative studies</searchLink>
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  Data: A novel contrast enhancement method called adaptive trilateral contrast enhancement (ATCE) method is presented. Unlike conventional methods which exaggerate the contrast difference between fore- and background of an image as a means to improve image visual quality, ATCE method provides a multifaceted approach which involves enhancement of both image contrast and subtle image details. The designation of ``trilateral'' is derived from the working principle of ATCE which utilises three different types of image characteristics, namely, contrast, intensity and sharpness, to concurrently enhance the visual quality of an image. In the experiment on a set of infrared thermal images captured under low-light night time environment, ATCE is evaluated and compared to some existing contrast enhancement methods. The quantitative experimental results show that ATCE significantly surpasses other existing methods on the measure of enhancement by entropy. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Pattern Recognition Letters is the property of Elsevier B.V. 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.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.patrec.2014.09.011
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 6
        StartPage: 103
    Subjects:
      – SubjectFull: Infrared equipment
        Type: general
      – SubjectFull: Image quality analysis
        Type: general
      – SubjectFull: Quantitative research
        Type: general
      – SubjectFull: Infrared imaging
        Type: general
      – SubjectFull: Entropy
        Type: general
      – SubjectFull: Comparative studies
        Type: general
    Titles:
      – TitleFull: Infrared image enhancement using adaptive trilateral contrast enhancement.
        Type: main
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            NameFull: Tzer Yuan, Lo
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            NameFull: Kok Swee, Sim
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            NameFull: Chih Ping, Tso
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          Dates:
            – D: 01
              M: 03
              Text: Mar2015
              Type: published
              Y: 2015
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              Value: 01678655
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              Value: 54
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            – TitleFull: Pattern Recognition Letters
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