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@article{169149,
        author = {sowmithri paladugu and M.Rishi Priya and G.Rishyendra},
        title = {Hybrid-Driven Underwater Image Refinement: Unveiling Clarity through Multifaceted Enhancement},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {1652-1659},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=169149},
        abstract = {In this paper, we offer a novel underwater picture enhancing model based on hybrid algorithms. We describe a color correction system designed to compensate for the disparities between superior and inferior color channels, using specifically constructed attenuation matrices to restore accurate color representation. Furthermore, we use dual sub image histogram equalization and a contrast-limited histogram equalization approach with Rayleigh distribution to improve both global and local contrast in the color-corrected image, resulting in increased visibility and detail. We combine the advantages of global and local contrast enhancement using a multi- scale fusion method. Furthermore, our system incorporates a novel approach to underwater image restoration, which addresses weaknesses in traditional methods by enhancing background light estimation and automatic white balance. Evaluation through contrast experiments on various underwater images demonstrates the superior performance of our enhanced images in both subjective and objective assessments.},
        keywords = {Color correction, contrast enhancement, underwater image enhancement, underwater imaging},
        month = {November},
        }