Depth Estimation Based Underwater Image Enhancement

Qiu Yun Wang

doi:10.4028/www.scientific.net/AMR.926-930.1704

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 926-930Depth Estimation Based Underwater Image...

Depth Estimation Based Underwater Image Enhancement

Abstract:

According to the image formation model and the nature of underwater images, we find that the effect of the haze and the color distortion seriously pollute the underwater image data, lowing the quality of the underwater images in the visibility and the quality of the data. Hence, aiming to reduce the noise and the haze effect existing in the underwater image and compensate the color distortion, the dark channel prior model is used to enhance the underwater image. We compare the dark channel prior model based image enhancement method to the contrast stretching based method for image enhancement. The experimental results proved that the dark channel prior model has good ability for processing the underwater images. The super performance of the proposed method is demonstrated as well.

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Periodical:

Advanced Materials Research (Volumes 926-930)

Pages:

1704-1707

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.926-930.1704

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Online since:

May 2014

Authors:

Qiu Yun Wang

Keywords:

Dark Channel Prior, Haze, Image Enhancement, Underwater Image

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