UGC CARE norms ugc approved journal norms IJRTI Research Journal

Click Here

International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.14

Issue per Year : 12

Volume Published : 7

Issue Published : 74

Article Submitted : 3608

Article Published : 2079

Total Authors : 5515

Total Reviewer : 528

Total Countries : 39

Indexing Partner


This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: Underwater Image Restoration and Enhancement Based on Multi Thresholding Algorithm
Authors Name: B.Anusha , Dr. S. Narayana Reddy
Download E-Certificate: Download
Author Reg. ID:
Published Paper Id: IJRTI2206089
Published In: Volume 7 Issue 6, June-2022
Abstract: Underwater images are susceptible to various distortions compared to images taken on land, due to the nature of the water environment. These images often suffer from diffraction, polarisation, absorption, scattering, colour loss and attenuation of light. Each part of the ocean will have its own sources of distortions, due to flickers caused by direct sunlight, marine snow, the fluorescence of biological objects, the presence of macroscopical organisms, loss of stability in divers, loss of light, artificial lighting and floating dust particles present in the water. There are numerous techniques and algorithms that may be used to restore these underwater images. A Multi threshold Segmentation method is proposed for the restoration and enhancement of underwater images. Color balance, contrast optimization and histogram stretching are carried out. To alleviate the effect of color shift in an underwater image, the scalar values of R, G, B channels are renewed so that the distributions of the three channels in histogram are similar. To verify the effectiveness of the proposed algorithm, experimental underwater images are treated.
Keywords: Underwater images, histogram , color balance, multilevel thresholding.
Cite Article: "Underwater Image Restoration and Enhancement Based on Multi Thresholding Algorithm", International Journal of Science & Engineering Development Research (, ISSN:2455-2631, Vol.7, Issue 6, page no.529 - 534, June-2022, Available :
Downloads: 00084153
ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2206089
Registration ID:182405
Published In: Volume 7 Issue 6, June-2022
DOI (Digital Object Identifier):
Page No: 529 - 534
Country: Chittor, Andhra Pradesh, India
Research Area: Electronics & Communication Engg. 
Publisher : IJ Publication
Published Paper URL :
Published Paper PDF:
Share Article:

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

ISSN Details

ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)

Providing A digital object identifier by DOI.ONE
How to Get DOI?


Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Social Media

Join RMS/Earn 300


Indexing Partner