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Modified Transmission Map Estimation Function

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Artificial Intelligent Algorithms for Image Dehazing and Non-Uniform Illumination Enhancement

Part of the book series: Algorithms for Intelligent Systems ((AIS))

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Abstract

In addressing hazy conditions, techniques for enhancing image quality predominantly center on estimating the transmission map to restore a haze-free image. However, the conventional transmission map estimation function, based on the atmospheric scattering model, tends to suffer from issues such as over-saturation and over-dehazing. This is primarily attributed to its limited variability with respect to the scene depth. This chapter introduces an approach by presenting a modified transmission map estimation function. This function incorporates a saturation component as an additional haze-relevant feature. The inclusion of this saturation component aims to mitigate problems associated with over-saturation and over-dehazing, thereby enhancing the effectiveness of image quality improvement techniques in hazy conditions.

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Authors and Affiliations

  1. Mehta Family School of Data Science and Artificial Intelligence, Indian Institute of Technology Guwahati, Guwahati, Assam, India

    Teena Sharma

  2. Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India

    Nishchal K. Verma

Authors
  1. Teena Sharma
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  2. Nishchal K. Verma
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Sharma, T., Verma, N.K. (2024). Modified Transmission Map Estimation Function. In: Artificial Intelligent Algorithms for Image Dehazing and Non-Uniform Illumination Enhancement. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-97-2011-8_2

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