Digital Image Processing

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Color Balance and Fusion for Underwater Image Enhancement


Affiliations
1 Kingston Engineering College, Vellore, Tamil Nadu, India
2 Vivekananda College of Engineering for Women, Tiruchengode, Tamil Nadu, India
3 Excel College of Engineering and Technology, Nammakal, Tamil Nadu, India
     

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A successful method is initiated to the underwater images which get skint due to the absorption and medium scattering. Image structure’s underwater information or any hardware is not required. The two images that are derived straight from a color – compensated and white – balanced description of the original tarnished images are figured on this. The output image’s color contrast and edges are defined by these two images which tend to fusion and also their related weight maps. A multiscale fusion strategy is personalized to avoid the pointed weight map transitions that create artifacts when low frequency components are used for the reconstructed image. Our widespread qualitative and quantitative assessment proves that our superior images and videos are considered by better protection of the dark regions, better global difference and edge sharpness. The exactness of numerous image processing applications, such as image segmentation and keypoint matching are enhanced by our algorithm since it is independent on the camera settings.


Keywords

Image Fusion, Underwater Image, White Balancing.
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  • Color Balance and Fusion for Underwater Image Enhancement

Abstract Views: 200  |  PDF Views: 1

Authors

R. Dhivya
Kingston Engineering College, Vellore, Tamil Nadu, India
R. Prakash
Vivekananda College of Engineering for Women, Tiruchengode, Tamil Nadu, India
M. R. Mohanraj
Excel College of Engineering and Technology, Nammakal, Tamil Nadu, India

Abstract


A successful method is initiated to the underwater images which get skint due to the absorption and medium scattering. Image structure’s underwater information or any hardware is not required. The two images that are derived straight from a color – compensated and white – balanced description of the original tarnished images are figured on this. The output image’s color contrast and edges are defined by these two images which tend to fusion and also their related weight maps. A multiscale fusion strategy is personalized to avoid the pointed weight map transitions that create artifacts when low frequency components are used for the reconstructed image. Our widespread qualitative and quantitative assessment proves that our superior images and videos are considered by better protection of the dark regions, better global difference and edge sharpness. The exactness of numerous image processing applications, such as image segmentation and keypoint matching are enhanced by our algorithm since it is independent on the camera settings.


Keywords


Image Fusion, Underwater Image, White Balancing.

References