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IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: March 2024

Volume 9 | Issue 3

Impact factor: 8.15

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Paper Title: VIVID AND DIVERSE IMAGE COLORIZATION USING DEEP LEARNING TECHNIQUEs
Authors Name: K.Devendra Reddy , G. Hitesh Reddy , S. Pothumani
Unique Id: IJSDR2304023
Published In: Volume 8 Issue 4, April-2023
Abstract: The task of assigning colors to grayscale images, referred to as image colorization, has been effectively tackled using deep neural networks. While various research and review papers have addressed this problem, they have been classified based on the criteria such that the number of the colored output images, colorization methods, technique or network used, and network paths, with a focus on commonly used datasets and comparison measure. To advance the field, it would be beneficial to unify methods and datasets to showcase the progress made by new models. An approach on the deep learning for automatic colorization can be proposed, whereby a Convolutional Neural Networks (CNN) is used to map grayscale images and user cues to output colorizations. This network integrates low level information from sources with high level info learned from large-scale data, resulting in real-time, desaturated outputs that users can edit. This differs from previous methods that depend on user input and produce non-real-time desaturated outputs. Neural networks have been trained on a large dataset to reduce dependency on specific approaches. Applications for image colorization systems include astronomical photography, CCTV photos, electron microscopy, and other domains.
Keywords: Image colorization, Generative Adversarial Network, Convolutional Neural Networks, Image Processing.
Cite Article: "VIVID AND DIVERSE IMAGE COLORIZATION USING DEEP LEARNING TECHNIQUEs", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.112 - 116, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304023.pdf
Downloads: 000336256
Publication Details: Published Paper ID: IJSDR2304023
Registration ID:204782
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier):
Page No: 112 - 116
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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