Paper Info
Title
Performance evaluation of edge-directed interpolation methods for noise-free images
Abstract
Many interpolation methods have been developed for high visual quality, but fail for preserving image structures. Edges carry heavy structural messages for visual tasks. Importance of edge preservation imposes edge-directed interpolation (EDI) methods a center of focus. How to measure edge-preserving ability has not been mentioned. In this paper, two metrics are proposed to measure the ability by edge-preserving ratio from accuracy and robustness. Performance of four edge-directed interpolation with two traditional methods are evaluated on two groups of standard images with other six commonly-used metrics. Experimental results show that EDI methods are better than traditional methods with highly improved edge-preserving ratio.
Year
DOI
Venue
2013
10.1145/2499788.2499859
ICIMCS
Keywords
Field
DocType
commonly-used metrics,noise-free image,visual task,edge-preserving ability,edge preservation,interpolation method,traditional method,edge-preserving ratio,high visual quality,performance evaluation,edi method,edge-directed interpolation method,edge-directed interpolation
Computer vision,Nearest-neighbor interpolation,Computer science,Interpolation,Stairstep interpolation,Robustness (computer science),Artificial intelligence,Bilinear interpolation
Conference
Citations 
PageRank 
References 
2
0.39
12
Authors
6
Name
Order
Citations
PageRank
Shaode Yu1195.60
Rongmao Li220.39
Rui Zhang3120867.26
Mou An420.73
Shibin Wu5122.73
Yaoqin Xie612521.70