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@article{167095,
        author = {Aaliya Shaikh and Dhruv Dolas and Arohi Rathod and Aditya Kuleyar},
        title = {Histogram Based Underwater Image Enhancement},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {3},
        pages = {495-502},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=167095},
        abstract = {Underwater imaging encounter various challenges due to inherent characteristic of the aquatic nature, such as scattering of light, colour distortion, attenuation, or low illumination. Hence, the quality of image is often degraded by these factors, limiting their usage in various fields like marine biology or underwater archaeology. To overcome such problem, Under- water Image Enhancement is done. The technique aims towards resolving these challenges and improving quality of underwater images. This paper explores the approach of histogram-based techniques to enhance the quality of underwater images and extract maximum hidden information. The technique offers an adaptable and effective method for image enhancement and detail extraction.},
        keywords = {Underwater Images, histogram-based tech- niques, information extraction, enhancement},
        month = {August},
        }