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Contrast Enhancement Using Texture Histogram And Fuzzy Entropy

Author

Listed:
  • 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)

Abstract

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.

Suggested Citation

  • Yanhui Guo & H. D. Cheng & Jianhua Huang & Wei Zhao & Xianglong Tang, 2007. "Contrast Enhancement Using Texture Histogram And Fuzzy Entropy," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 3(03), pages 349-365.
    • Handle: RePEc:wsi:nmncxx:v:03:y:2007:i:03:n:s1793005707000835
    DOI: 10.1142/S1793005707000835
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