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      저자 : Ahmad Shahrizan Abdul Ghani (검색결과 2 건)
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      • KCI등재

        Underwater image quality enhancement through Rayleigh-stretching and averaging image planes

        Ahmad Shahrizan Abdul Ghani,Nor Ashidi Mat Isa 대한조선학회 2014 International Journal of Naval Architecture and Oc Vol.6 No.4

        Visibility in underwater images is usually poor because of the attenuation of light in the water thatcauses low contrast and color variation. In this paper, a new approach for underwater image quality improvement ispresented. The proposed method aims to improve underwater image contrast, increase image details, and reduce noiseby applying a new method of using contrast stretching to produce two different images with different contrasts. Theproposed method integrates the modification of the image histogram in two main color models, RGB and HSV. The histogramsof the color channel in the RGB color model are modified and remapped to follow the Rayleigh distributionwithin certain ranges. The image is then converted to the HSV color model, and the S and V components are modifiedwithin a certain limit. Qualitative and quantitative analyses indicate that the proposed method outperforms other stateof-the-art methods in terms of contrast, details, and noise reduction. The image color also shows much improvement.

      • SCIESCOPUSKCI등재

        Underwater image quality enhancement through Rayleigh-stretching and averaging image planes

        Ghani, Ahmad Shahrizan Abdul,Isa, Nor Ashidi Mat The Society of Naval Architects of Korea 2014 International Journal of Naval Architecture and Oc Vol.6 No.4

        Visibility in underwater images is usually poor because of the attenuation of light in the water that causes low contrast and color variation. In this paper, a new approach for underwater image quality improvement is presented. The proposed method aims to improve underwater image contrast, increase image details, and reduce noise by applying a new method of using contrast stretching to produce two different images with different contrasts. The proposed method integrates the modification of the image histogram in two main color models, RGB and HSV. The histograms of the color channel in the RGB color model are modified and remapped to follow the Rayleigh distribution within certain ranges. The image is then converted to the HSV color model, and the S and V components are modified within a certain limit. Qualitative and quantitative analyses indicate that the proposed method outperforms other state-of-the-art methods in terms of contrast, details, and noise reduction. The image color also shows much improvement.

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