Paper Title

Adaptable Research Image De-Noising

Authors

Kunal Chaudhari , Pratham Sankhala , Vedangi Narkhede , Gayatri Gavai , Prof. S. G. Chordiya

Keywords

Underwater Image, Image Enhancement, Transfer Learning, Light Scattering.

Abstract

Image Enhancement is an important step in underwater research. The basic intent of image enhancing is to convert a blur image into a crystal-clear image for the underwater research. Paper discusses the technique for improving underwater image enhancement, these underwater images usually suffers from motion blur effect due to turbulence in the flow of water and non – uniform illumination and limited contrast. Due to the presence of distortion, captured underwater image needs to be processed in different ways. Underwater images captured in deep low light environment, are of worst quality and these images are low contrast, cause blurring effect, low contrast, scattering, absorption, noise color variation, clarity of image is reduced, quality get degrades and these underwater images cannot be directly used for various scientific research, marine biology research, underwater vehicles, submarine operations. While capturing underwater images some major obstacles are there such as minerals, salt, sand, planktons. These particles produce haziness in deep underwater captured image. To beat this, transfer learning base of Features model is taken in this paper.[1]

How To Cite

"Adaptable Research Image De-Noising", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 11, page no.810 - 813, November-2022, Available :https://ijsdr.org/papers/IJSDR2211113.pdf

Issue

Volume 7 Issue 11, November-2022

Pages : 810 - 813

Other Publication Details

Paper Reg. ID: IJSDR_202716

Published Paper Id: IJSDR2211113

Downloads: 000347200

Research Area: Engineering

Country: -, -, -

Published Paper PDF: https://ijsdr.org/papers/IJSDR2211113

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2211113

About Publisher

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

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