Underwater Image Enhancement: A Comprehensive Approach
Saloni Tarhate
, Dr.(Mr) D.V Rojatkar
Underwater image enhancement, color correction, contrast enhancement, HSI (Hue, Saturation, and Intensity) , UIQM (Underwater Image Quality Measure) , noise reduction, image processing.
Underwater imaging presents unique challenges due to light absorption and scattering, resulting in low contrast, color distortion, and reduced visibility (Seo et al., 2019). The confluence of these factors significantly degrades the quality of underwater images, impeding effective analysis and interpretation. Addressing these inherent limitations is crucial for a wide range of applications, including marine robotics, underwater archaeology, and environmental monitoring (Selmo et al., 2017). This paper explores advanced techniques for enhancing underwater images, focusing on overcoming the complexities introduced by the aquatic environment. We present a novel framework that integrates color correction, contrast enhancement, and noise reduction to improve the visual quality of underwater imagery. HSI (Hue, Saturation, and Intensity) model-based color correction, wavelet domain contrast enhancement, and adaptive median filtering are combined to address the color cast, blurring, and noise issues prevalent in underwater images. The proposed approach aims to restore the natural appearance of underwater scenes, enabling more accurate and reliable visual information extraction. UIQM (Underwater Image Quality Measure) is used for quantitative analysis of the enhancement results for various underwater images. Results demonstrate significant improvements in visual quality and quantitative metrics, highlighting the effectiveness of the proposed method for enhancing underwater images.
"Underwater Image Enhancement: A Comprehensive Approach", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.10, Issue 3, page no.c424-c431, March-2025, Available :https://ijsdr.org/papers/IJSDR2503252.pdf
Volume 10
Issue 3,
March-2025
Pages : c424-c431
Paper Reg. ID: IJSDR_301364
Published Paper Id: IJSDR2503252
Downloads: 000122
Research Area: Science and Technology
Country: Nagpur, Maharashtra, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
