INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Dark Channel Prior Algorithm for Enhancing Underwater Images
Authors Name:
Suraj Bhagvan Thorat
, Prof. Prathmesh S Powar
Unique Id:
IJSDR2310061
Published In:
Volume 8 Issue 10, October-2023
Abstract:
"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."
Keywords:
haze, fog,image enhancement, dark channel prior, median filter
Cite Article:
"Dark Channel Prior Algorithm for Enhancing Underwater Images", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 10, page no.351 - 357, October-2023, Available :http://www.ijsdr.org/papers/IJSDR2310061.pdf
Downloads:
000338720
Publication Details:
Published Paper ID: IJSDR2310061
Registration ID:208900
Published In: Volume 8 Issue 10, October-2023
DOI (Digital Object Identifier):
Page No: 351 - 357
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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