Paper Title

Image Colorizer using OpenCv and Convolutional Neural Networks

Article Identifiers

Registration ID: IJNRD_188216

Published ID: IJNRD2303086

DOI: Click Here to Get

Authors

Parthib Ranjan Ray , Akshay Narisetti , Dr.R.Renuka Devi

Keywords

Image Colorization, Convolution neural networks, Feature extractor, Decoder

Abstract

Given a grayscale photograph or video as input, this project attempts to create a plausible color version of the photograph. This problem is clearly underconstrained, so previous approaches have either relied on significant user interaction or resulted in desaturated colorizations. We propose a fully automatic approach that produces vibrant and realistic colorizations. We embrace the underlying uncertainty of the problem by posing it as a classification task and use class-rebalancing at training time to increase the diversity of colors in the result. Colorizing images has a significant impact in different fields, such as photography of astronomical objects, the visuals of electronic microscopes, and CCTV surveillance systems. Using Deep Learning algorithms, we can build an automated system for analyzing color grayscale images.

How To Cite

"Image Colorizer using OpenCv and Convolutional Neural Networks", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 3, page no.a816-a819, March-2023, Available :https://ijnrd.org/papers/IJNRD2303086.pdf

Issue

Volume 8 Issue 3, March-2023

Pages : a816-a819

Other Publication Details

Paper Reg. ID: IJNRD_188216

Published Paper Id: IJNRD2303086

Downloads: 000121147

Research Area: Computer Engineering 

Country: Nagpur, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2303086.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2303086

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