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Infrared Image Iterative Enhancement in Frequency Domain.

Bibliographic Details
Title: Infrared Image Iterative Enhancement in Frequency Domain.
Authors: Stankevich, Sergey, Kondratov, Oleksandr, Herda, Maksym, Maslenko, Oleh, Saprykin, Ievgen
Source: Radioelectronics & Communications Systems; Jun2025, Vol. 68 Issue 6, p277-286, 10p
Subject Terms: Infrared imaging, Image enhancement (Imaging systems), Iterative methods (Mathematics), Modular design, Pixel density measurement, Frequency-domain analysis, Remote-sensing images
Abstract: This paper proposes an approach to infrared image enhancement involving iterative wrapping of the enhancement core within an image upscale/downscale loop. It highlights and suppresses distortion and blurs fine image details. This is the aim of the current study. Therefore, the isotropic pixel resolution of the digital image is chosen as an evaluation criterion. This criterion attunes the pre-processing result to the visual interpretation requirements of the infrared image. All processing workflow is performed inside the frequency domain, which is beneficial regarding computational burden. The actual infrared UAV image processing demonstrates an improvement in isotropic pixel resolution by a factor of 1.9–2.1, which is slightly superior to known single-pass algorithms. The proposed approach is flexible and modular and can be easily implemented in ground-based and onboard infrared imagery processing. [ABSTRACT FROM AUTHOR]
Copyright of Radioelectronics & Communications Systems is the property of Springer Nature 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.)
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PubType: Academic Journal
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  Data: Infrared Image Iterative Enhancement in Frequency Domain.
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  Data: <searchLink fieldCode="AR" term="%22Stankevich%2C+Sergey%22">Stankevich, Sergey</searchLink><br /><searchLink fieldCode="AR" term="%22Kondratov%2C+Oleksandr%22">Kondratov, Oleksandr</searchLink><br /><searchLink fieldCode="AR" term="%22Herda%2C+Maksym%22">Herda, Maksym</searchLink><br /><searchLink fieldCode="AR" term="%22Maslenko%2C+Oleh%22">Maslenko, Oleh</searchLink><br /><searchLink fieldCode="AR" term="%22Saprykin%2C+Ievgen%22">Saprykin, Ievgen</searchLink>
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  Data: Radioelectronics & Communications Systems; Jun2025, Vol. 68 Issue 6, p277-286, 10p
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  Data: <searchLink fieldCode="DE" term="%22Infrared+imaging%22">Infrared imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Image+enhancement+%28Imaging+systems%29%22">Image enhancement (Imaging systems)</searchLink><br /><searchLink fieldCode="DE" term="%22Iterative+methods+%28Mathematics%29%22">Iterative methods (Mathematics)</searchLink><br /><searchLink fieldCode="DE" term="%22Modular+design%22">Modular design</searchLink><br /><searchLink fieldCode="DE" term="%22Pixel+density+measurement%22">Pixel density measurement</searchLink><br /><searchLink fieldCode="DE" term="%22Frequency-domain+analysis%22">Frequency-domain analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Remote-sensing+images%22">Remote-sensing images</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This paper proposes an approach to infrared image enhancement involving iterative wrapping of the enhancement core within an image upscale/downscale loop. It highlights and suppresses distortion and blurs fine image details. This is the aim of the current study. Therefore, the isotropic pixel resolution of the digital image is chosen as an evaluation criterion. This criterion attunes the pre-processing result to the visual interpretation requirements of the infrared image. All processing workflow is performed inside the frequency domain, which is beneficial regarding computational burden. The actual infrared UAV image processing demonstrates an improvement in isotropic pixel resolution by a factor of 1.9–2.1, which is slightly superior to known single-pass algorithms. The proposed approach is flexible and modular and can be easily implemented in ground-based and onboard infrared imagery processing. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Radioelectronics & Communications Systems is the property of Springer Nature 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:
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        Value: 10.3103/S0735272724070045
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      – Code: eng
        Text: English
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        PageCount: 10
        StartPage: 277
    Subjects:
      – SubjectFull: Infrared imaging
        Type: general
      – SubjectFull: Image enhancement (Imaging systems)
        Type: general
      – SubjectFull: Iterative methods (Mathematics)
        Type: general
      – SubjectFull: Modular design
        Type: general
      – SubjectFull: Pixel density measurement
        Type: general
      – SubjectFull: Frequency-domain analysis
        Type: general
      – SubjectFull: Remote-sensing images
        Type: general
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      – TitleFull: Infrared Image Iterative Enhancement in Frequency Domain.
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            NameFull: Stankevich, Sergey
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            NameFull: Kondratov, Oleksandr
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            NameFull: Herda, Maksym
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            – D: 01
              M: 06
              Text: Jun2025
              Type: published
              Y: 2025
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