Paper Info
Title
A survey on image interpolation methods
Abstract
In this paper we are describing some important state-of the-art algorithms used for Image interpolation. These algorithms are broadly classified as prediction based and transform based methods. Motivation behind this work is to provide new researchers a detailed analysis of such algorithms in the context of artifacts, subjective and objective quality of interpolated image, computational cost and to give future research direction based on the analysis. However, the goal of this study was not to determine an overall best method, but to present a comprehensive catalogue of methods in a uniform terminology, to define general properties and requirements local techniques, and to enable the reader to select that method which is optimal for his specific application.
Year
DOI
Venue
2010
10.1117/12.855799
Proceedings of SPIE
Keywords
Field
DocType
Geometric regularity,MMSE,LMSE,Autoregressive Modeling,DWT,Convolution
Data mining,Computer vision,Terminology,Interpolation,Image processing,Digital image,Artificial intelligence,Image scaling,Mathematics,Computational complexity theory
Conference
Volume
ISSN
Citations 
7546
0277-786X
3
PageRank 
References 
Authors
0.47
0
3
Name
Order
Citations
PageRank
Vinit Jakhetiya110212.89
ashok kumar281.13
Anil Kumar Tiwari36517.51