|
|||||||||||||||
|
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, 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) |
||||||||||||||
Issue: June 2023
Volume 8 | Issue 6
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.76
Issue per Year : 12
Volume Published : 8
Issue Published : 85
Article Submitted : 19184
Article Published : 5650
Total Authors : 14740
Total Reviewer : 846
Total Countries : 134
Indexing Partner
Join RMS/Earn 300
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Video Restoration using Convolution Neural Network |
| Authors Name: | Sushant Deshmukh , Rajesh Patil |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_180137
|
| Published Paper Id: | IJNRD1807014 |
| Published In: | Volume 3 Issue 7, July-2018 |
| DOI: | |
| Abstract: | Neural networks have shown very promising results in a large number of research areas. With the introduction of convolution neural networks, they have been widely used in image processing. In this paper we implement Convolution Neural Network for video restoration. This is achieved by introducing higher frequency details using pre trained networks. Most of the research aims at improving video quality by increasing PSNR, but sometimes due to this the videos may become aesthetically less satisfying. While large image databases are available to train deep neural networks, it is more challenging to create a large video database of sufficient quality to train neural nets for video restoration. The dataset used for training the model is from DIV2K - bicubic downscaling x4 competition.Video restoration remains a challenging problem despite being a very active area of research. Even with huge strides made with single-image super-resolution, multi-frame techniques, which utilize multiple frames in improving the quality of a given frame, we have yet to fully take advantage of the power of deep learning. |
| Keywords: | Neural Networks, Video Restoration |
| Cite Article: | "Video Restoration using Convolution Neural Network", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.3, Issue 7, page no.78-80, July-2018, Available :http://www.ijnrd.org/papers/IJNRD1807014.pdf |
| Downloads: | 000114578 |
| 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 |
| Publication Details: |
Published Paper ID:IJNRD1807014 Registration ID: 180137 Published In: Volume 3 Issue 7, July-2018 DOI (Digital Object Identifier): Page No: 78-80 Country: Thane, Maharashtra, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD1807014 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD1807014 |
| Share Article: |
|
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijnrd.org
| Semantic Scholar | Microsaoft Academic | ORCID | Zenodo |
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | PUBLON |
| DRJI | SSRN | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Social Media
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Join RMS/Earn 300
| Copyright © 2023 - All Rights Reserved - IJNRD |
Facebook Twitter Instagram LinkedIn