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Image Enhancement of Underwater Habitat Using Color Correction Based on Histogram

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Visual Informatics: Sustaining Research and Innovations (IVIC 2011)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7066))

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Abstract

The visual of an underwater images sometimes does not representing the real world objects. Light absorption and diffusion somehow degrade the clarity of the images. In order to improve visualization of underwater images, an approach using color correction based on histogram is used. The reason why this approach is used is simply because it improves contrast by redistributing intensity distributions and computes a uniform histogram. Histogram in Photoshop is a graph that shows the digital image balance and also placement of the pixels in an image. A few examples are shown in this paper.

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Author information

Authors and Affiliations

  1. Universiti Teknologi PETRONAS, Tronoh, Perak, Malaysia

    Norsila bt Shamsuddin, Wan Fatimah bt Wan Ahmad & Baharum b Baharudin

  2. Universiti Selangor, Selangor, Malaysia

    Norsila bt Shamsuddin, Mohd Kushairi b Mohd Rajuddin & Farahwahida bt Mohd

Authors
  1. Norsila bt Shamsuddin
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  2. Wan Fatimah bt Wan Ahmad
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  3. Baharum b Baharudin
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  4. Mohd Kushairi b Mohd Rajuddin
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  5. Farahwahida bt Mohd
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Editor information

Editors and Affiliations

  1. Universiti Kebangsaan Malaysia, Bangi, Malaysia

    Halimah Badioze Zaman

  2. University of Cambridge, UK

    Peter Robinson

  3. Imperial College, London, UK

    Maria Petrou

  4. Newcastle University upon-Tyne, UK

    Patrick Olivier

  5. National Central University, Jhongli City, Taiwan

    Timothy K. Shih

  6. Digital Imaging Research Centre, Kingston University, London Kingston-Upon-Thames, KT1 2EE, UK

    Sergio Velastin

  7. Centre for Image Analysis, Uppsala University, Uppsala, Sweden

    Ingela Nyström

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© 2011 Springer-Verlag Berlin Heidelberg

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bt Shamsuddin, N., bt Wan Ahmad, W.F., b Baharudin, B., b Mohd Rajuddin, M.K., bt Mohd, F. (2011). Image Enhancement of Underwater Habitat Using Color Correction Based on Histogram. In: Badioze Zaman, H., et al. Visual Informatics: Sustaining Research and Innovations. IVIC 2011. Lecture Notes in Computer Science, vol 7066. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25191-7_28

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  • DOI: https://doi.org/10.1007/978-3-642-25191-7_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25190-0

  • Online ISBN: 978-3-642-25191-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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