Contrast enhancement of color images based on wavelet transform and human visual system

Ding Xiao, Jun Ohya

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    25 Citations (Scopus)

    Abstract

    This paper proposes a new method for enhancing the contrast of color images based on Wavelet Transform and human visual system. The RGB (red, green, and blue) values of each pixel in a color image are converted to HSV (hue, saturation and value) values. To the V (luminance value) components of the color image, Wavelet Transform is applied so that the V components are decomposed into the approximate components and detail components. The obtained coefficients of the approximate components are converted by a grey-level contrast enhancement technique based on human visual system. Then, inverse Wavelet transform is performed for the converted coefficients so that the enhanced V values are obtained. The S components are enhanced by histogram equalization. The H components are not changed, because changes in the H components could degrade the color balance between the HSV components. The enhanced S and V together with H are converted back to RGB values. The effectiveness of the proposed method is demonstrated experimentally.

    Original languageEnglish
    Title of host publicationProceedings of the IASTED International Conference on Graphics and Visualization in Engineering, GVE 2007
    Pages58-63
    Number of pages6
    Publication statusPublished - 2007
    Event2007 IASTED International Conference on Graphics and Visualization in Engineering, GVE 2008 - Clearwater, FL
    Duration: 2007 Jan 32007 Jan 5

    Other

    Other2007 IASTED International Conference on Graphics and Visualization in Engineering, GVE 2008
    CityClearwater, FL
    Period07/1/307/1/5

    Fingerprint

    Wavelet transforms
    Color
    Inverse transforms
    Luminance
    Pixels

    Keywords

    • Color enhancement
    • HSV color space
    • Human visual system
    • Image processing
    • Wavelet transform

    ASJC Scopus subject areas

    • Computer Graphics and Computer-Aided Design
    • Computer Vision and Pattern Recognition

    Cite this

    Xiao, D., & Ohya, J. (2007). Contrast enhancement of color images based on wavelet transform and human visual system. In Proceedings of the IASTED International Conference on Graphics and Visualization in Engineering, GVE 2007 (pp. 58-63)

    Contrast enhancement of color images based on wavelet transform and human visual system. / Xiao, Ding; Ohya, Jun.

    Proceedings of the IASTED International Conference on Graphics and Visualization in Engineering, GVE 2007. 2007. p. 58-63.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Xiao, D & Ohya, J 2007, Contrast enhancement of color images based on wavelet transform and human visual system. in Proceedings of the IASTED International Conference on Graphics and Visualization in Engineering, GVE 2007. pp. 58-63, 2007 IASTED International Conference on Graphics and Visualization in Engineering, GVE 2008, Clearwater, FL, 07/1/3.
    Xiao D, Ohya J. Contrast enhancement of color images based on wavelet transform and human visual system. In Proceedings of the IASTED International Conference on Graphics and Visualization in Engineering, GVE 2007. 2007. p. 58-63
    Xiao, Ding ; Ohya, Jun. / Contrast enhancement of color images based on wavelet transform and human visual system. Proceedings of the IASTED International Conference on Graphics and Visualization in Engineering, GVE 2007. 2007. pp. 58-63
    @inproceedings{af6532b949084782b5e0113a705884f5,
    title = "Contrast enhancement of color images based on wavelet transform and human visual system",
    abstract = "This paper proposes a new method for enhancing the contrast of color images based on Wavelet Transform and human visual system. The RGB (red, green, and blue) values of each pixel in a color image are converted to HSV (hue, saturation and value) values. To the V (luminance value) components of the color image, Wavelet Transform is applied so that the V components are decomposed into the approximate components and detail components. The obtained coefficients of the approximate components are converted by a grey-level contrast enhancement technique based on human visual system. Then, inverse Wavelet transform is performed for the converted coefficients so that the enhanced V values are obtained. The S components are enhanced by histogram equalization. The H components are not changed, because changes in the H components could degrade the color balance between the HSV components. The enhanced S and V together with H are converted back to RGB values. The effectiveness of the proposed method is demonstrated experimentally.",
    keywords = "Color enhancement, HSV color space, Human visual system, Image processing, Wavelet transform",
    author = "Ding Xiao and Jun Ohya",
    year = "2007",
    language = "English",
    isbn = "9780889866256",
    pages = "58--63",
    booktitle = "Proceedings of the IASTED International Conference on Graphics and Visualization in Engineering, GVE 2007",

    }

    TY - GEN

    T1 - Contrast enhancement of color images based on wavelet transform and human visual system

    AU - Xiao, Ding

    AU - Ohya, Jun

    PY - 2007

    Y1 - 2007

    N2 - This paper proposes a new method for enhancing the contrast of color images based on Wavelet Transform and human visual system. The RGB (red, green, and blue) values of each pixel in a color image are converted to HSV (hue, saturation and value) values. To the V (luminance value) components of the color image, Wavelet Transform is applied so that the V components are decomposed into the approximate components and detail components. The obtained coefficients of the approximate components are converted by a grey-level contrast enhancement technique based on human visual system. Then, inverse Wavelet transform is performed for the converted coefficients so that the enhanced V values are obtained. The S components are enhanced by histogram equalization. The H components are not changed, because changes in the H components could degrade the color balance between the HSV components. The enhanced S and V together with H are converted back to RGB values. The effectiveness of the proposed method is demonstrated experimentally.

    AB - This paper proposes a new method for enhancing the contrast of color images based on Wavelet Transform and human visual system. The RGB (red, green, and blue) values of each pixel in a color image are converted to HSV (hue, saturation and value) values. To the V (luminance value) components of the color image, Wavelet Transform is applied so that the V components are decomposed into the approximate components and detail components. The obtained coefficients of the approximate components are converted by a grey-level contrast enhancement technique based on human visual system. Then, inverse Wavelet transform is performed for the converted coefficients so that the enhanced V values are obtained. The S components are enhanced by histogram equalization. The H components are not changed, because changes in the H components could degrade the color balance between the HSV components. The enhanced S and V together with H are converted back to RGB values. The effectiveness of the proposed method is demonstrated experimentally.

    KW - Color enhancement

    KW - HSV color space

    KW - Human visual system

    KW - Image processing

    KW - Wavelet transform

    UR - http://www.scopus.com/inward/record.url?scp=54949142507&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=54949142507&partnerID=8YFLogxK

    M3 - Conference contribution

    SN - 9780889866256

    SP - 58

    EP - 63

    BT - Proceedings of the IASTED International Conference on Graphics and Visualization in Engineering, GVE 2007

    ER -