Novel evaluation index for image quality

Sheikh Md. Rabiul Islam, Xu HUANG, Kim LE

    Research output: A Conference proceeding or a Chapter in BookConference contribution

    Abstract

    Indexes used for image quality evaluation are provided as computational models to measure the quality of images in a perceptually consistent manner. This paper presents a novel evaluation index for assessing image qualities. The index is a modification of the existing traditional Structural Similarity Index Measure (SSIM) by adding another factor to reflect the shape of the brightness histogram of the assessed image. The proposed index therefore is a combination of four major factors luminance, contrast, structure and shape of histogram. This index is mathematically simple and applicable in various image processing. For demonstration a new image de-noising approach using an adaptive shrinkage threshold in the shearlet domain is used. Experimental results show that the new image quality indexes give better prediction accuracy, better prediction monotonicity than PSNR, HQI, UIQI and SSIM.
    Original languageEnglish
    Title of host publication2014 International Conference on image Computing: Techniques and Applications (DlCTA),
    EditorsAbdesselam Bouzerdoum, Lei Wang, Philip Ogunbona, Wanqing, Son Lam Phung
    Place of PublicationUSA
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Pages293-300
    Number of pages8
    ISBN (Print)9781479954094
    DOIs
    Publication statusPublished - 25 Nov 2014
    Event2014 International Conference on Digital Image Computing, Techniques and Applications - Wollongong, Wollongong, Australia
    Duration: 25 Nov 201427 Nov 2014

    Conference

    Conference2014 International Conference on Digital Image Computing, Techniques and Applications
    Abbreviated titleDICTA 2014
    CountryAustralia
    CityWollongong
    Period25/11/1427/11/14

    Fingerprint

    Image quality
    Luminance
    Image denoising
    Image processing
    Demonstrations

    Cite this

    Islam, S. M. R., HUANG, X., & LE, K. (2014). Novel evaluation index for image quality. In A. Bouzerdoum, L. Wang, P. Ogunbona, Wanqing, & S. L. Phung (Eds.), 2014 International Conference on image Computing: Techniques and Applications (DlCTA), (pp. 293-300). USA: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/DICTA.2014.7008120
    Islam, Sheikh Md. Rabiul ; HUANG, Xu ; LE, Kim. / Novel evaluation index for image quality. 2014 International Conference on image Computing: Techniques and Applications (DlCTA),. editor / Abdesselam Bouzerdoum ; Lei Wang ; Philip Ogunbona ; Wanqing ; Son Lam Phung. USA : IEEE, Institute of Electrical and Electronics Engineers, 2014. pp. 293-300
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    title = "Novel evaluation index for image quality",
    abstract = "Indexes used for image quality evaluation are provided as computational models to measure the quality of images in a perceptually consistent manner. This paper presents a novel evaluation index for assessing image qualities. The index is a modification of the existing traditional Structural Similarity Index Measure (SSIM) by adding another factor to reflect the shape of the brightness histogram of the assessed image. The proposed index therefore is a combination of four major factors luminance, contrast, structure and shape of histogram. This index is mathematically simple and applicable in various image processing. For demonstration a new image de-noising approach using an adaptive shrinkage threshold in the shearlet domain is used. Experimental results show that the new image quality indexes give better prediction accuracy, better prediction monotonicity than PSNR, HQI, UIQI and SSIM.",
    keywords = "Image processing, Adaptive threshold, Evaluation of Image Quality, Kurtosis, Skewness, SSIM, UIQI",
    author = "Islam, {Sheikh Md. Rabiul} and Xu HUANG and Kim LE",
    year = "2014",
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    booktitle = "2014 International Conference on image Computing: Techniques and Applications (DlCTA),",
    publisher = "IEEE, Institute of Electrical and Electronics Engineers",
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    Islam, SMR, HUANG, X & LE, K 2014, Novel evaluation index for image quality. in A Bouzerdoum, L Wang, P Ogunbona, Wanqing & SL Phung (eds), 2014 International Conference on image Computing: Techniques and Applications (DlCTA),. IEEE, Institute of Electrical and Electronics Engineers, USA, pp. 293-300, 2014 International Conference on Digital Image Computing, Techniques and Applications, Wollongong, Australia, 25/11/14. https://doi.org/10.1109/DICTA.2014.7008120

    Novel evaluation index for image quality. / Islam, Sheikh Md. Rabiul; HUANG, Xu; LE, Kim.

    2014 International Conference on image Computing: Techniques and Applications (DlCTA),. ed. / Abdesselam Bouzerdoum; Lei Wang; Philip Ogunbona; Wanqing; Son Lam Phung. USA : IEEE, Institute of Electrical and Electronics Engineers, 2014. p. 293-300.

    Research output: A Conference proceeding or a Chapter in BookConference contribution

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    T1 - Novel evaluation index for image quality

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    AU - HUANG, Xu

    AU - LE, Kim

    PY - 2014/11/25

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    N2 - Indexes used for image quality evaluation are provided as computational models to measure the quality of images in a perceptually consistent manner. This paper presents a novel evaluation index for assessing image qualities. The index is a modification of the existing traditional Structural Similarity Index Measure (SSIM) by adding another factor to reflect the shape of the brightness histogram of the assessed image. The proposed index therefore is a combination of four major factors luminance, contrast, structure and shape of histogram. This index is mathematically simple and applicable in various image processing. For demonstration a new image de-noising approach using an adaptive shrinkage threshold in the shearlet domain is used. Experimental results show that the new image quality indexes give better prediction accuracy, better prediction monotonicity than PSNR, HQI, UIQI and SSIM.

    AB - Indexes used for image quality evaluation are provided as computational models to measure the quality of images in a perceptually consistent manner. This paper presents a novel evaluation index for assessing image qualities. The index is a modification of the existing traditional Structural Similarity Index Measure (SSIM) by adding another factor to reflect the shape of the brightness histogram of the assessed image. The proposed index therefore is a combination of four major factors luminance, contrast, structure and shape of histogram. This index is mathematically simple and applicable in various image processing. For demonstration a new image de-noising approach using an adaptive shrinkage threshold in the shearlet domain is used. Experimental results show that the new image quality indexes give better prediction accuracy, better prediction monotonicity than PSNR, HQI, UIQI and SSIM.

    KW - Image processing

    KW - Adaptive threshold

    KW - Evaluation of Image Quality

    KW - Kurtosis

    KW - Skewness

    KW - SSIM

    KW - UIQI

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    BT - 2014 International Conference on image Computing: Techniques and Applications (DlCTA),

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    Islam SMR, HUANG X, LE K. Novel evaluation index for image quality. In Bouzerdoum A, Wang L, Ogunbona P, Wanqing, Phung SL, editors, 2014 International Conference on image Computing: Techniques and Applications (DlCTA),. USA: IEEE, Institute of Electrical and Electronics Engineers. 2014. p. 293-300 https://doi.org/10.1109/DICTA.2014.7008120