Dark Channel Prior Algorithm for Enhancing Underwater Images

Suraj Bhagvan Thorat , Prof. Prathmesh S Powar

haze, fog,image enhancement, dark channel prior, median filter

"In outdoor scenes, the presence of haze, fog, and various atmospheric degradations caused by particles scattering and absorbing light can significantly impact image quality. These effects, while intriguing in some contexts, often need correction, as they can lead to algorithmic errors when assumptions about particle sizes and behavior are violated. Neglecting haze correction, as seen in an automotive navigation system, can have detrimental consequences. Consequently, finding effective methods for haze removal remains an ongoing area of interest in the fields of image processing and computer vision. This task holds critical importance in various outdoor applications, including remote sensing, intelligent vehicles, and underwater imaging. Underwater imaging, in particular, is a vital research area in ocean engineering, as scientists strive to explore the enigmatic underwater world. However, underwater footage suffers from poor visibility and low contrast due to haze, making haze removal a complex challenge due to the lack of known depth information. Haze not only degrades scene contrast but also weakens colors, making its removal a sophisticated and demanding task."

Published Paper   E-Certificate

"Dark Channel Prior Algorithm for Enhancing Underwater Images", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 10, page no.351 - 357, October-2023, Available :https://ijsdr.org/papers/IJSDR2310061.pdf

Volume 8 Issue 10, October-2023

Pages : 351 - 357

Paper Reg. ID: IJSDR_208900

Published Paper Id: IJSDR2310061

Downloads: 000347219

Research Area: Computer Science & Technology 

Country: Satara, Maharastra, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2310061

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2310061

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

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition