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Contrast Enhancement Using Texture Histogram And Fuzzy Entropy

  • YANHUI GUO

    ()

    (School of Computer Science and Technology, P.O. Box 352, Harbin Institute of Technology, Harbin,150001, China)

  • H. D. CHENG

    ()

    (Department of Computer Science, Utah State University, Logan, UT 84322-4205, USA)

  • JIANHUA HUANG

    ()

    (School of Computer Science and Technology, Harbin Institute of Technology, P.O. Box 352, Harbin, 150001, China)

  • WEI ZHAO

    ()

    (School of Computer Science and Technology, Harbin Institute of Technology, P.O. Box 352, Harbin, 150001, China)

  • XIANGLONG TANG

    ()

    (School of Computer Science and Technology, Harbin Institute of Technology, P.O. Box 352, Harbin, 150001, China)

Registered author(s):

    Image enhancement is used to correct contrast deficiencies and to improve the quality of an image. It is essential and critical to extracting features and segmenting images. This paper presents a novel contrast enhancement algorithm based on newly defined texture histogram and fuzzy entropy with the ability to preserve edges and details, while avoiding noise amplification and over-enhancement. To demonstrate the performance, the proposed algorithm is tested on a variety of images and compared with other enhancement algorithms. Experimental results proved that the proposed method has better performance in enhancing images without over-enhancement and under-enhancement.

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    Article provided by World Scientific Publishing Co. Pte. Ltd. in its journal New Mathematics and Natural Computation.

    Volume (Year): 03 (2007)
    Issue (Month): 03 ()
    Pages: 349-365

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    Handle: RePEc:wsi:nmncxx:v:03:y:2007:i:03:p:349-365
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