Improving the quality of under water images with precision: Employing a CLAHE method

  • Authors

    • Gogineni Krishna Chaitanya Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India
    • Sasidhar Reddy Gaddam Staff IT Software Engineer, Palo Alto Networks, Huntersville, North Carolina, USA
    • Khadri Syed Faizz Ahmad Department of Computer Science and Engineering, Acharya Nagarjuna University, Guntur, Andhra Pradesh, India
    • Balaji Vicharapu Department of Computer Science and Engineering, Acharya Nagarjuna University, Guntur, Andhra Pradesh, India
    • Uppuluri Lakshmi Soundharya Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India
    • Uppuluri Naga Lakshmi ‎ Madhuri Department of Computer Science and Engineering, NRI Institute of Technology, Pothavarapadu, Andhra Pradesh, India
    https://doi.org/10.14419/9qrvbh15

    Received date: May 19, 2025

    Accepted date: June 22, 2025

    Published date: July 7, 2025

  • Image Processing; Image Enhancement; Histogram Equalization
  • Abstract

    This research paper undertakes a thorough and meticulous comparative exploration of diverse image enhancement techniques, focusing specifically on their application to underwater images and medical X-rays. Central to this investigation is the innovative Contrast Limited Adaptive Histogram Equalization (CLAHE) method, which stands in juxtaposition to the more conventional Adaptive Histogram Equalization (AHE) and Histogram Equalization (HE) techniques. The intrinsic challenges of underwater imaging and medical diagnostics, stemming from issues of diminished visibility and contrast, propel the urgency of this study. Herein, we introduce an inventive paradigm harnessing the CLAHE algorithm to efficaciously elevate image quality. The implementation of our proposed approach stands as a testament to its notable superiority over incumbent algorithms, as evidenced by substantial advancements in enhancement quality and computational efficiency.

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  • How to Cite

    Chaitanya, G. K. ., Gaddam , S. R. ., Ahmad , K. S. F. ., Vicharapu , B. ., Soundharya , U. L. ., & Madhuri , U. N. L. ‎. (2025). Improving the quality of under water images with precision: Employing a CLAHE method. International Journal of Basic and Applied Sciences, 14(2), 658-664. https://doi.org/10.14419/9qrvbh15