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Computational Intelligence: Theories, Applications and Future Directions - Volume II pp 319–331Cite as

An Efficient Algorithm for Image Haze Removal in Outdoor Environment

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 799))

Abstract

Computer vision applications in outdoor environment are mainly affected by factors such as pollution, clouds, shadow, haze, fog. Herein, an algorithm for real-time haze detection and removal in image has been implemented. For this purpose, the Dark Channel Prior technique is used which is efficient method for haze removal and also contains information about the level of haze in the image. Initially, visibility index of image frame is estimated to determine whether image is hazy or not using haze detection model. Thereafter, hazy images are processed with haze removal model to enhance the image visibility. The haze removal model uses guided filter to accelerate the process. Non-hazy images do not require to process with haze removal model. The algorithm has been tested for four datasets, i.e., non-hazy, slightly hazy, medium hazy, and heavily hazy. The proposed algorithm is performing well and also able to tackle the halo effects at some extent.

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Author information

Authors and Affiliations

  1. Indian Institute of Technology Kanpur, Kanpur, 208016, India

    Teena Sharma, Pooja Agrawal & Nishchal K. Verma

  2. Indian Institute of Technology Roorkee, Roorkee, 247667, India

    Himanshu Dua

Authors
  1. Himanshu Dua
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  2. Teena Sharma
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  3. Pooja Agrawal
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  4. Nishchal K. Verma
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Corresponding author

Correspondence to Teena Sharma .

Editor information

Editors and Affiliations

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

    Nishchal K. Verma

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

    A. K. Ghosh

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Dua, H., Sharma, T., Agrawal, P., Verma, N.K. (2019). An Efficient Algorithm for Image Haze Removal in Outdoor Environment. In: Verma, N., Ghosh, A. (eds) Computational Intelligence: Theories, Applications and Future Directions - Volume II. Advances in Intelligent Systems and Computing, vol 799. Springer, Singapore. https://doi.org/10.1007/978-981-13-1135-2_25

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