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Underwater image quality enhancement through composition of dual-intensity images and Rayleigh-stretching.

Abdul Ghani AS, Mat Isa NA - Springerplus (2014)

Bottom Line: The properties of water cause attenuation of light travels through the water medium, resulting in low contrast, blur, inhomogeneous lighting, and color diminishing of the underwater images.The modification of the color component increases the image color performance.Qualitative and quantitative analyses indicate that the proposed method outperforms other state-of-the-art methods in terms of contrast, details, and noise reduction.

View Article: PubMed Central - PubMed

Affiliation: School of Electrical & Electronics Engineering, Engineering Campus, Universiti Sains Malaysia, 14300 Nibong Tebal, Penang Malaysia ; Faculty of Electrical and Automation Engineering Technology, TATI University College, Jalan Panchor, 24100 Kijal, Kemaman, Malaysia.

ABSTRACT
The quality of underwater image is poor due to the properties of water and its impurities. The properties of water cause attenuation of light travels through the water medium, resulting in low contrast, blur, inhomogeneous lighting, and color diminishing of the underwater images. This paper proposes a method of enhancing the quality of underwater image. The proposed method consists of two stages. At the first stage, the contrast correction technique is applied to the image, where the image is applied with the modified Von Kries hypothesis and stretching the image into two different intensity images at the average value with respects to Rayleigh distribution. At the second stage, the color correction technique is applied to the image where the image is first converted into hue-saturation-value (HSV) color model. The modification of the color component increases the image color performance. Qualitative and quantitative analyses indicate that the proposed method outperforms other state-of-the-art methods in terms of contrast, details, and noise reduction.

No MeSH data available.


Visual illustration of diminishing under water color (Hitam et al.2013).
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Fig1: Visual illustration of diminishing under water color (Hitam et al.2013).

Mentions: As shown in the visual illustration of diminishing under water color in Figure 1, the red color is absorbed by the water at the depth of 5 m, followed by orange, yellow, green, and blue (Hitam et al. 2013). Underwater images normally appear green-blue because these color components are last absorbed. The phenomenon of color absorption causes the captured underwater images to have low color and contrast performance. Furthermore, the important information from the image is also loss. To restore the contrast, color, and loss information from the images, the application of computer vision and image processing are gaining important.Figure 1


Underwater image quality enhancement through composition of dual-intensity images and Rayleigh-stretching.

Abdul Ghani AS, Mat Isa NA - Springerplus (2014)

Visual illustration of diminishing under water color (Hitam et al.2013).
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4320174&req=5

Fig1: Visual illustration of diminishing under water color (Hitam et al.2013).
Mentions: As shown in the visual illustration of diminishing under water color in Figure 1, the red color is absorbed by the water at the depth of 5 m, followed by orange, yellow, green, and blue (Hitam et al. 2013). Underwater images normally appear green-blue because these color components are last absorbed. The phenomenon of color absorption causes the captured underwater images to have low color and contrast performance. Furthermore, the important information from the image is also loss. To restore the contrast, color, and loss information from the images, the application of computer vision and image processing are gaining important.Figure 1

Bottom Line: The properties of water cause attenuation of light travels through the water medium, resulting in low contrast, blur, inhomogeneous lighting, and color diminishing of the underwater images.The modification of the color component increases the image color performance.Qualitative and quantitative analyses indicate that the proposed method outperforms other state-of-the-art methods in terms of contrast, details, and noise reduction.

View Article: PubMed Central - PubMed

Affiliation: School of Electrical & Electronics Engineering, Engineering Campus, Universiti Sains Malaysia, 14300 Nibong Tebal, Penang Malaysia ; Faculty of Electrical and Automation Engineering Technology, TATI University College, Jalan Panchor, 24100 Kijal, Kemaman, Malaysia.

ABSTRACT
The quality of underwater image is poor due to the properties of water and its impurities. The properties of water cause attenuation of light travels through the water medium, resulting in low contrast, blur, inhomogeneous lighting, and color diminishing of the underwater images. This paper proposes a method of enhancing the quality of underwater image. The proposed method consists of two stages. At the first stage, the contrast correction technique is applied to the image, where the image is applied with the modified Von Kries hypothesis and stretching the image into two different intensity images at the average value with respects to Rayleigh distribution. At the second stage, the color correction technique is applied to the image where the image is first converted into hue-saturation-value (HSV) color model. The modification of the color component increases the image color performance. Qualitative and quantitative analyses indicate that the proposed method outperforms other state-of-the-art methods in terms of contrast, details, and noise reduction.

No MeSH data available.