ISSN2456-3315
Impact Factor10.57
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ESTD2016
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Paper Title
EIGHT ADJACENT REGRESSION BASED IMAGE INTERPOLATION FOR HR IMAGES
Authors
Utsav Kumar Malviya , Vivek Singh Rathore , Champalal Lalani
Keywords
Newton bivariate interpolation Terms—Image interpolation, autoregressive model, parallel optimization
Abstract
with bitmap graphics, as the size of an image is enlarged, the pixels that form the image become increasingly visible, making the image appear "soft" if pixels are averaged, or jagged if not. Image interpolation methods however, often suffer from high computational costs and unnatural texture interpolation. Image interpolation, which is based on an autoregressive model, has achieved significant improvements compared with the traditional algorithm with respect to image reconstruction, including a better peak signal-to-noise ratio (PSNR) and improved subjective visual quality of the reconstructed image. However, the time-consuming computation involved has become a bottleneck in those autoregressive algorithms. The main purpose of this work is to provide recursive algorithms for the computation of the Newton interpolation polynomial of a given two-variable function
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IJRTI — journal style
"EIGHT ADJACENT REGRESSION BASED IMAGE INTERPOLATION FOR HR IMAGES", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.4, Issue 3, page no.111 - 118, March-2019, Available :https://ijrti.org/papers/IJRTI1903025.pdf
APA — 7th edition
Malviya, U. K., Rathore, V. S., & Lalani, C. (2019). EIGHT ADJACENT REGRESSION BASED IMAGE INTERPOLATION FOR HR IMAGES. International Journal for Research Trends and Innovation, 4(3), 111 - 118. https://ijrti.org/viewpaperforall.php?paper=IJRTI1903025
MLA — 9th edition
Malviya, Utsav Kumar, et al. "EIGHT ADJACENT REGRESSION BASED IMAGE INTERPOLATION FOR HR IMAGES." International Journal for Research Trends and Innovation, vol. 4, no. 3, 2019, pp. 111 - 118, https://ijrti.org/viewpaperforall.php?paper=IJRTI1903025.
Chicago — 17th, bibliography
Malviya, Utsav Kumar, Vivek Singh Rathore, and Champalal Lalani. "EIGHT ADJACENT REGRESSION BASED IMAGE INTERPOLATION FOR HR IMAGES." International Journal for Research Trends and Innovation 4, no. 3 (2019): 111 - 118. https://ijrti.org/viewpaperforall.php?paper=IJRTI1903025.
Harvard — author–date
Malviya, U.K., Rathore, V.S. and Lalani, C. (2019) 'EIGHT ADJACENT REGRESSION BASED IMAGE INTERPOLATION FOR HR IMAGES', International Journal for Research Trends and Innovation, 4(3), pp. 111 - 118. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI1903025
IEEE — numbered reference
U. K. Malviya, V. S. Rathore and C. Lalani, "EIGHT ADJACENT REGRESSION BASED IMAGE INTERPOLATION FOR HR IMAGES," IJRTI, vol. 4, no. 3, pp. 111 - 118, Mar. 2019.
Vancouver — biomedical
Malviya UK, Rathore VS, Lalani C. EIGHT ADJACENT REGRESSION BASED IMAGE INTERPOLATION FOR HR IMAGES. IJRTI. 2019 Mar;4(3):111 - 118.
AMA — 11th edition
Malviya UK, Rathore VS, Lalani C. EIGHT ADJACENT REGRESSION BASED IMAGE INTERPOLATION FOR HR IMAGES. IJRTI. 2019;4(3):111 - 118. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI1903025
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI1903025,
author = {Utsav Kumar Malviya and Vivek Singh Rathore and Champalal Lalani},
title = {EIGHT ADJACENT REGRESSION BASED IMAGE INTERPOLATION FOR HR IMAGES},
journal = {International Journal for Research Trends and Innovation},
volume = {4},
number = {3},
pages = {111 - 118},
year = {2019},
month = {March},
issn = {2456-3315},
url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI1903025}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Malviya, Utsav Kumar
AU - Rathore, Vivek Singh
AU - Lalani, Champalal
TI - EIGHT ADJACENT REGRESSION BASED IMAGE INTERPOLATION FOR HR IMAGES
T2 - International Journal for Research Trends and Innovation
JA - IJRTI
VL - 4
IS - 3
PY - 2019
SN - 2456-3315
UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI1903025
SP - 111
EP - 118
ER -
Issue
Volume 4 Issue 3,
March-2019
Pages : 111 - 118
Other Publication Details
Paper Reg. ID
IJRTI_180766
Published Paper ID
IJRTI1903025
Downloads
205,633
Research Area
Engineering
Country
Bilaspur, Cg, India
Published
March 2019
Published Paper PDF
https://ijrti.org/papers/IJRTI1903025.pdf
Published Paper URL
https://ijrti.org/viewpaperforall.php?paper=IJRTI1903025
About Publisher
International Journal for Research Trends and Innovation
Published by IJRTI (JW Publication)
2456-3315
ISSN
10.57
Impact Factor
2016
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Open
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Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
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Declarations
Funding
No external funding was received for this study.
Conflict of Interest
The authors declare that they have no conflict of interest.
Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.
