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The Dynamic Scattering Coefficient on Image Dehazing Method with Different Haze Conditions

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Intelligent Technologies for Interactive Entertainment (INTETAIN 2021)

Abstract

The dust, mist, haze, and smokiness of the atmosphere typically degrade images from the light and absorption. These effects have poor visibility, dimmed luminosity, low contrast, and distortion of colour. As a result, restoring a degraded image is difficult, especially in hazy conditions. The image dehazing method focuses on improving the visibility of image details while preserving image colours without causing data loss. Many image dehazing methods achieve the goal of removing haze while also addressing other issues such as oversaturation, colour distortion, and halo artefacts. However, some of the approaches could solve these problems and be effective at a certain level of haze. A volume of various haze level data is required to demonstrate the efficiency of the image dehazing method in removing haze at all haze levels and obtaining the image’s quality. This study proposed a new dataset by simulating synthetic haze in images of outdoor scenes. The synthetic haze simulation is based on the meteorological range and works on specific haze conditions. In addition, this paper introduced a dynamic scattering coefficient to the dehazing algorithm to determine the appropriate visibility range for different haze conditions. These proposed methods improve on the current state-of-the-art dehazing method in terms of image quality measurement results.

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Acknowledgements

This research was funded by the Ministry of Higher Education through the Fundamental Research Grant Scheme and managed by the Research Management Centre (RMC) of Universiti Teknologi Malaysia Vot No. R.K130000.7856.5F036.

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Authors and Affiliations

  1. School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia

    Noor Asma Husain & Mohd Shafry Mohd Rahim

Authors
  1. Noor Asma Husain
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  2. Mohd Shafry Mohd Rahim
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Correspondence to Noor Asma Husain .

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Editors and Affiliations

  1. Uppsala University, Uppsala, Sweden

    Zhihan Lv

  2. Embry-Riddle Aeronautical University, Daytona Beach, WV, USA

    Houbing Song

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Husain, N.A., Rahim, M.S.M. (2022). The Dynamic Scattering Coefficient on Image Dehazing Method with Different Haze Conditions. In: Lv, Z., Song, H. (eds) Intelligent Technologies for Interactive Entertainment. INTETAIN 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 429. Springer, Cham. https://doi.org/10.1007/978-3-030-99188-3_14

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  • DOI: https://doi.org/10.1007/978-3-030-99188-3_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-99187-6

  • Online ISBN: 978-3-030-99188-3

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