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Fuzzy logic-based automatic contrast enhancement of satellite images of ocean

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Abstract

In this paper, we evaluate the conventional contrast enhancement techniques [histogram equalization (HE), adaptive HE] and the recent gray-level grouping method and the fuzzy logic method in order to find out which of these is well suited for automatic contrast enhancement for satellite images of the ocean, obtained from a variety of sensors. All the techniques evaluated were based on the principle of transforming the skewed histogram of the original image into a uniform histogram. The performance of the different contrast enhancement algorithms are evaluated based on the visual quality and the Tenengrad criterion. The inter comparison of different techniques was carried out on a standard low-contrast image and also three different satellite images with different characteristics. Based on our study, we advocate that a modified fuzzy logic method elucidated in this paper is well suited for contrast enhancement of low-contrast satellite images of the ocean.

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Authors and Affiliations

  1. Rajagiri School of Computer Science, Rajagiri College of Social Sciences, Kalamassery, Kochi, 683104, Kerala, India

    Madhu S. Nair

  2. KMEA Engineering College, Aluva, Kerala, India

    Rekha Lakshmanan

  3. Department of Computer Science, University of Kerala, Kariavattom, Trivandrum, 695581, Kerala, India

    M. Wilscy

  4. Academic Research, VIT University, Vellore, 632014, Tamil Nadu, India

    Rao Tatavarti

Authors
  1. Madhu S. Nair
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  2. Rekha Lakshmanan
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  3. M. Wilscy
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  4. Rao Tatavarti
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Correspondence to Madhu S. Nair.

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Nair, M.S., Lakshmanan, R., Wilscy, M. et al. Fuzzy logic-based automatic contrast enhancement of satellite images of ocean. SIViP 5, 69–80 (2011). https://doi.org/10.1007/s11760-009-0143-2

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  • DOI: https://doi.org/10.1007/s11760-009-0143-2

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