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Uncertain Zone-Based Color Image Enhancement

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Recent Trends in Intelligence Enabled Research (DoSIER 2023)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1457))

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Abstract

In the science of image processing, image enhancement is a significant field. Basically image’s quality differs due to ambiguity in the image pattern. Contrast enhancement attempts to increase the image’s quality by reducing the uncertainty due to spatial and gray-level ambiguity in the particular image. Here, we propose a novel method for color image enhancement in fuzzy domain. In this paper, we first define an uncertain zone in an image. By reducing the fuzzy entropy of the uncertain zone we enhance an image in fuzzy domain. By applying the proposed method on some common datasets we demonstrate that the proposed method is fairly effective when compared with the state-of-the-art methods.

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Authors and Affiliations

  1. RCC Institute of Information Technology, Kolkata, India

    Kamalika Banerjee, Soumyadip Dhar & Hiranmoy Roy

Authors
  1. Kamalika Banerjee
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  2. Soumyadip Dhar
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  3. Hiranmoy Roy
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Corresponding author

Correspondence to Hiranmoy Roy .

Editor information

Editors and Affiliations

  1. Rajnagar Mahavidyalaya, Birbhum, India

    Siddhartha Bhattacharyya

  2. Cooch Behar Government Engineering College, Cooch Behar, West Bengal, India

    Gautam Das

  3. Cooch Behar Government Engineering College, Cooch Behar, West Bengal, India

    Sourav De

  4. Algebra University College, Zagreb, Croatia

    Leo Mrsic

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Banerjee, K., Dhar, S., Roy, H. (2024). Uncertain Zone-Based Color Image Enhancement. In: Bhattacharyya, S., Das, G., De, S., Mrsic, L. (eds) Recent Trends in Intelligence Enabled Research. DoSIER 2023. Advances in Intelligent Systems and Computing, vol 1457. Springer, Singapore. https://doi.org/10.1007/978-981-97-2321-8_15

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