• Dr. ANITA TITUS
• JEEVA AMIRTHA.S.K
• KALAIVANI.K
• KEERTHANA.M

Underwater images suffer from color casts and low contrast due to wavelength and distance-dependent attenuation and scattering. To solve these two degradation issues, an underwater image enhancement network is presented by using MATLAB. It is used to enhance the image using image processing techniques. To solve the color cast and low contrast of underwater images caused by the effects of light absorption and scattering, a novel underwater image enhancement technique is used. Color correction, contrast enhancement and multiscale fusion are the three primary aspects of the suggested technique. First, the color cast is eliminated by imcomplement. Then, Laplacian filtering is used which enhances the contrast and details of the image and the low-frequency information is disposed via gamma correction for adjusting the exposure. Multiscale fusion fuses the low frequency information after gamma correction for adjusting the exposure with the high-frequency information after Laplacian which enhances the contrast and details of the image. As a result, this method can effectively improve the visual quality of underwater images.

Color correction, contrast enhancement, multiscale fusion, imcomplement, Laplacian filtering.

"Underwater Image Enhancement", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.f608-f613, June-2022, Available :http://www.jetir.org/papers/JETIR2206577.pdf

"Underwater Image Enhancement", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppf608-f613, June-2022, Available at : http://www.jetir.org/papers/JETIR2206577.pdf