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@article{159787,
        author = {Tejas M and Rahul R Patil and Rajashekar K K and Samarth R Patel and K DeepaShree},
        title = {Underwater Image Enhancement},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {12},
        pages = {705-711},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=159787},
        abstract = {Images shot underwater are not always clear since they are taken in water and light behaves differently there. When trying to capture distant objects, underwater photographs are particularly prone to color distortion and a pronounced blue color predominance. Both light attenuation and light scattering have an impact on this. Even after restoring the image, I still need to use the histogram equalization approach to improve the colors. Depending on the working approach chosen and the resources at the designer's disposal, testing the outcomes can be done in a variety of ways. In our project, using wavelet fusion and CLAHE, we will demonstrate how to get rid of image interference and attempt to capture the precise colors of the item submerged. Because photos taken underwater are vulnerable to light dispersion and refraction, resulting in hazy images with little details, this project will assist individuals in performing object detection even if the image input is not particularly clear.},
        keywords = {Wavelet fusion, CLAHE, Interference, Enhanced, Attenuation, Histogram Equalization},
        month = {},
        }