Paper Title

-Deep learning techniques-based image forensics approaches- A Review

Article Identifiers

Registration ID: IJNRD_204915

Published ID: IJNRD2310110

DOI: Click Here to Get

Authors

N V S K Vijayalakshmi K , Dr. J. Sasikala , Dr. C. Shanmuganathan

Keywords

optimization technique, deep learning techniques, image forensics, multimedia forensics

Abstract

With the development of digital word, all the information transferred among the various persons were in the form of digitized format. Among numerous formats of data, image is considered to be most prominent and easy way of expressing the information in the visual mode. Moreover, representing the content in image format tends to decrease the size of the space occupied by the traditional way like textual format. These aforementioned highlighted points for image format enhance its popularity as well as the fraudulent activity. The way of detecting the manipulation of the image content can be detected by image forensics approaches. Recently researchers seek attention towards image forensics based on deep learning techniques. In this work, the existing methodology which relies on deep learning-based image forensics techniques has been analyzed in a detailed manner. This article discusses about the detection approaches used for image forensics approaches. At the end of the work, the demerits and merits of each existing approaches has been explored.

How To Cite

"-Deep learning techniques-based image forensics approaches- A Review", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 10, page no.b87-b92, October-2023, Available :https://ijnrd.org/papers/IJNRD2310110.pdf

Issue

Volume 8 Issue 10, October-2023

Pages : b87-b92

Other Publication Details

Paper Reg. ID: IJNRD_204915

Published Paper Id: IJNRD2310110

Downloads: 000121166

Research Area: Science & Technology

Country: Eluru, Andhra radesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2310110.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2310110

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

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Call For Paper

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (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) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Important Dates for Current issue

Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area