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Local Contrast Enhancement Utilizing Bidirectional Switching Equalization of Separated and Clipped Subhistograms

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  • Haidi Ibrahim
  • Seng Chun Hoo

Abstract

Digital image contrast enhancement methods that are based on histogram equalization technique are still useful for the use in consumer electronic products due to their simple implementation. However, almost all the suggested enhancement methods are using global processing technique, which does not emphasize local contents. Therefore, this paper proposes a new local image contrast enhancement method, based on histogram equalization technique, which not only enhances the contrast, but also increases the sharpness of the image. Besides, this method is also able to preserve the mean brightness of the image. In order to limit the noise amplification, this newly proposed method utilizes local mean-separation, and clipped histogram bins methodologies. Based on nine test color images and the benchmark with other three histogram equalization based methods, the proposed technique shows the best overall performance.

Suggested Citation

  • Haidi Ibrahim & Seng Chun Hoo, 2014. "Local Contrast Enhancement Utilizing Bidirectional Switching Equalization of Separated and Clipped Subhistograms," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-10, February.
    • Handle: RePEc:hin:jnlmpe:848615
    DOI: 10.1155/2014/848615
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    Cited by:

    1. Peter Chondro & Qazi Mazhar ul Haq & Shanq-Jang Ruan & Lieber Po-Hung Li, 2020. "Transferable Architecture for Segmenting Maxillary Sinuses on Texture-Enhanced Occipitomental View Radiographs," Mathematics, MDPI, vol. 8(5), pages 1-15, May.

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