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Local Contrast-Based Pixel Ordering for Exact Histogram Specification

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Titel: Local Contrast-Based Pixel Ordering for Exact Histogram Specification
Autoren: Kohei Inoue, Naoki Ono, Kenji Hara
Quelle: Journal of Imaging, Vol 8, Iss 247, p 247 (2022)
Verlagsinformationen: MDPI AG
Publikationsjahr: 2022
Bestand: Directory of Open Access Journals: DOAJ Articles
Schlagwörter: exact histogram equalization, exact histogram specification, Gaussian filter, contrast enhancement, pixel ordering, Photography, TR1-1050, Computer applications to medicine. Medical informatics, R858-859.7, Electronic computers. Computer science, QA75.5-76.95
Beschreibung: Histogram equalization is one of the basic image processing tasks for contrast enhancement, and its generalized version is histogram specification, which accepts arbitrary shapes of target histograms including uniform distributions for histogram equalization. It is well known that strictly ordered pixels in an image can be voted to any target histogram to achieve exact histogram specification. This paper proposes a method for ordering pixels in an image on the basis of the local contrast of each pixel, where a Gaussian filter without approximation is used to avoid the duplication of pixel values that disturbs the strict pixel ordering. The main idea of the proposed method is that the problem of pixel ordering is divided into small subproblems which can be solved separately, and then the results are merged into one sequence of all ordered pixels. Moreover, the proposed method is extended from grayscale images to color ones in a consistent manner. Experimental results show that the state-of-the-art histogram specification method occasionally produces false patterns, which are alleviated by the proposed method. Those results demonstrate the effectiveness of the proposed method for exact histogram specification.
Publikationsart: article in journal/newspaper
Sprache: English
Relation: https://www.mdpi.com/2313-433X/8/9/247; https://doaj.org/toc/2313-433X; https://doaj.org/article/ba2d3a00b0554cb6bccacce2a6a4c2b6
DOI: 10.3390/jimaging8090247
Verfügbarkeit: https://doi.org/10.3390/jimaging8090247
https://doaj.org/article/ba2d3a00b0554cb6bccacce2a6a4c2b6
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  – Url: https://doi.org/10.3390/jimaging8090247#
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  Data: Local Contrast-Based Pixel Ordering for Exact Histogram Specification
– Name: Author
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  Data: <searchLink fieldCode="AR" term="%22Kohei+Inoue%22">Kohei Inoue</searchLink><br /><searchLink fieldCode="AR" term="%22Naoki+Ono%22">Naoki Ono</searchLink><br /><searchLink fieldCode="AR" term="%22Kenji+Hara%22">Kenji Hara</searchLink>
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  Data: Journal of Imaging, Vol 8, Iss 247, p 247 (2022)
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  Data: MDPI AG
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  Data: 2022
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  Data: <searchLink fieldCode="DE" term="%22exact+histogram+equalization%22">exact histogram equalization</searchLink><br /><searchLink fieldCode="DE" term="%22exact+histogram+specification%22">exact histogram specification</searchLink><br /><searchLink fieldCode="DE" term="%22Gaussian+filter%22">Gaussian filter</searchLink><br /><searchLink fieldCode="DE" term="%22contrast+enhancement%22">contrast enhancement</searchLink><br /><searchLink fieldCode="DE" term="%22pixel+ordering%22">pixel ordering</searchLink><br /><searchLink fieldCode="DE" term="%22Photography%22">Photography</searchLink><br /><searchLink fieldCode="DE" term="%22TR1-1050%22">TR1-1050</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+applications+to+medicine%2E+Medical+informatics%22">Computer applications to medicine. Medical informatics</searchLink><br /><searchLink fieldCode="DE" term="%22R858-859%2E7%22">R858-859.7</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+computers%2E+Computer+science%22">Electronic computers. Computer science</searchLink><br /><searchLink fieldCode="DE" term="%22QA75%2E5-76%2E95%22">QA75.5-76.95</searchLink>
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  Data: Histogram equalization is one of the basic image processing tasks for contrast enhancement, and its generalized version is histogram specification, which accepts arbitrary shapes of target histograms including uniform distributions for histogram equalization. It is well known that strictly ordered pixels in an image can be voted to any target histogram to achieve exact histogram specification. This paper proposes a method for ordering pixels in an image on the basis of the local contrast of each pixel, where a Gaussian filter without approximation is used to avoid the duplication of pixel values that disturbs the strict pixel ordering. The main idea of the proposed method is that the problem of pixel ordering is divided into small subproblems which can be solved separately, and then the results are merged into one sequence of all ordered pixels. Moreover, the proposed method is extended from grayscale images to color ones in a consistent manner. Experimental results show that the state-of-the-art histogram specification method occasionally produces false patterns, which are alleviated by the proposed method. Those results demonstrate the effectiveness of the proposed method for exact histogram specification.
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  Data: 10.3390/jimaging8090247
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        Value: 10.3390/jimaging8090247
    Languages:
      – Text: English
    Subjects:
      – SubjectFull: exact histogram equalization
        Type: general
      – SubjectFull: exact histogram specification
        Type: general
      – SubjectFull: Gaussian filter
        Type: general
      – SubjectFull: contrast enhancement
        Type: general
      – SubjectFull: pixel ordering
        Type: general
      – SubjectFull: Photography
        Type: general
      – SubjectFull: TR1-1050
        Type: general
      – SubjectFull: Computer applications to medicine. Medical informatics
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      – SubjectFull: R858-859.7
        Type: general
      – SubjectFull: Electronic computers. Computer science
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      – SubjectFull: QA75.5-76.95
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      – TitleFull: Local Contrast-Based Pixel Ordering for Exact Histogram Specification
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            NameFull: Kohei Inoue
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            NameFull: Naoki Ono
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            NameFull: Kenji Hara
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              Type: published
              Y: 2022
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