Image Restoration using Convolutional Neural Networks
Title: Image Restoration Using Convolutional Neural Networks
Permalink: image-restoration-using-convolutional-neural-networks
Description: This research explores advanced image restoration techniques using convolutional neural networks (CNNs), analyzing methods such as image filtering, deconvolution, and deep learning algorithms while proposing a user-friendly web platform for accessible image enhancement.
Focus Keywords: Image Restoration, Convolutional Neural Networks, Deep Learning, Image Filtering, Deconvolution, high-impact factor journal, journal with a DOI
International Journal of Engineering and Techniques – Volume 10 Issue 2, March 2024
www.ijetjournal.org
ISSN: 2395-1303
Arzoo Kharayat1, Rohitkumar M Mistry2
1Parul Institute of Technology, Parul University, Vadodara, Gujarat, India. Email: arzookharayat@gmail.com
2Parul Institute of Technology, Parul University, Vadodara, Gujarat, India.
Abstract
This paper explores the field of image restoration, focusing on enhancing digital images degraded by noise, blur, and other distortions. Through a review of seminal research papers, it examines techniques such as image filtering, deconvolution, and deep learning algorithms used for restoration. Additionally, it proposes the development of a user-friendly web platform for convenient image restoration, addressing the need for accessible tools across diverse applications. By highlighting advancements and proposing practical solutions, this paper contributes to the ongoing evolution of image restoration technology.
Keywords
Image Restoration, Convolutional Neural Networks, Deep Learning, Image Filtering, Deconvolution, Digital Image Enhancement
How to Cite
Arzoo Kharayat, Rohitkumar M Mistry, “Image Restoration Using Convolutional Neural Networks,” International Journal of Engineering and Techniques, Volume 10, Issue 2, March 2024.
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