Paper Title

Video Colorization using Generative Adversarial Networks

Article Identifiers

Registration ID: IJNRD_220409

Published ID: IJNRD2405093

DOI: Click Here to Get

Authors

Kshitij Verma , Ankur Singh , Abhijit Pattanaik , Maaz Karim

Keywords

Abstract

Video colorization plays a crucial role in reviving historical footage and enhancing the visual experience of multimedia content. In this research paper, we propose a novel approach for video colorization by leveraging the power of Generative Adversarial Networks (GANs). Building upon the foundations established in image colorization, we extend the methodology to handle video sequences, enabling the automatic and realistic colorization of grayscale videos. Our approach addresses the limitations of traditional video colorization methods by leveraging deep learning techniques and adversarial training. We present promising results demonstrating the effectiveness of our model in colorizing videos, thereby opening up new possibilities for preserving and enhancing visual content.

How To Cite

"Video Colorization using Generative Adversarial Networks", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 5, page no.a880-a888, May-2024, Available :https://ijnrd.org/papers/IJNRD2405093.pdf

Issue

Volume 9 Issue 5, May-2024

Pages : a880-a888

Other Publication Details

Paper Reg. ID: IJNRD_220409

Published Paper Id: IJNRD2405093

Downloads: 000121117

Research Area: Engineering

Country: Bengaluru, Karnataka, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2405093.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405093

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