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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Issue: November 2022

Volume 7 | Issue 11

Impact factor: 8.15

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Paper Title: Adaptable Research Image De-Noising
Authors Name: Kunal Chaudhari , Pratham Sankhala , Vedangi Narkhede , Gayatri Gavai , Prof. S. G. Chordiya
Unique Id: IJSDR2211113
Published In: Volume 7 Issue 11, November-2022
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]
Keywords: Underwater Image, Image Enhancement, Transfer Learning, Light Scattering.
Cite Article: "Adaptable Research Image De-Noising", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 11, page no.810 - 813, November-2022, Available :http://www.ijsdr.org/papers/IJSDR2211113.pdf
Downloads: 000150694
Publication Details: Published Paper ID: IJSDR2211113
Registration ID:202716
Published In: Volume 7 Issue 11, November-2022
DOI (Digital Object Identifier):
Page No: 810 - 813
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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