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Deep Underwater Image Enhancement Through Integration of Red Color Correction Based on Blue Color Channel and Global Contrast Stretching

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Proceedings of the 10th National Technical Seminar on Underwater System Technology 2018

Abstract

Deep underwater images experience some complicated problems, such as low contrast and blue-green illumination effect due to light attenuation in water medium. These problems reduce the extraction rate of valuable information from the image. This paper proposes a new method of enhancing underwater image. The proposed method consists of two major steps. The first step is explicitly designed to minimize the effect of blue-green illumination. This technique operates by correcting the red color channel by taking into account the differences between the red color with blue color in term of total pixel value. The more significant the difference of total pixel value between these colors, the higher the pixel value will be added to improve the red color and vice versa. Then, the overall image contrast is improved through global contrast stretching technique that is applied to all color channels. Qualitative and quantitative evaluations prove the effectiveness of the proposed method.

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Acknowledgements

This work is partially supported by Universiti Malaysia Pahang research grant, RDU170392 entitled “Dual Image Fusion Technique for Enhancement of Underwater Image Contrast.”

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Correspondence to Kamil Zakwan Mohd Azmi .

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Mohd Azmi, K.Z., Abdul Ghani, A.S., Md Yusof, Z., Ibrahim, Z. (2019). Deep Underwater Image Enhancement Through Integration of Red Color Correction Based on Blue Color Channel and Global Contrast Stretching. In: Md Zain, Z., et al. Proceedings of the 10th National Technical Seminar on Underwater System Technology 2018 . Lecture Notes in Electrical Engineering, vol 538. Springer, Singapore. https://doi.org/10.1007/978-981-13-3708-6_4

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  • DOI: https://doi.org/10.1007/978-981-13-3708-6_4

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-3707-9

  • Online ISBN: 978-981-13-3708-6

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