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2019 | OriginalPaper | Chapter

A Comprehensive Study of 1D and 2D Image Interpolation Techniques

Authors : V. Diana Earshia, M. Sumathi

Published in: ICCCE 2018

Publisher: Springer Singapore

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Abstract

Image interpolation plays an important role in converting a low resolution image into a high resolution image. This paper provides a comprehensive study of perdurable image interpolation techniques, such as nearest neighbor, bilinear, bicubic, cubic spline, and iterative linear interpolation. The usage of a Lagrange polynomial and a piecewise polynomial gives a better fitting curve for interpolated pixel values. The parameters of interest are the signal-to-noise ratio, peak signal-to-noise ratio, mean square error and processing time. Experiment results are used to analyze the performance of interpolation algorithms. These results help us to choose an appropriate algorithm for better usage.

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previous chapter Hexagonal Intersection-Based Inner Search to Accelerate Motion Estimation
next chapter Reinforcement Learning-Based DoS Mitigation in Software Defined Networks
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Metadata
Title
A Comprehensive Study of 1D and 2D Image Interpolation Techniques
Authors
V. Diana Earshia
M. Sumathi
Copyright Year
2019
Publisher
Springer Singapore
Book
ICCCE 2018

Print ISBN: 978-981-13-0211-4

Electronic ISBN: 978-981-13-0212-1

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-981-13-0212-1_40