Paper Info
Title
Fusing soft-decision-adaptive and bicubic methods for image interpolation
Abstract
In this paper, a novel image fusion based interpolation method is proposed. Soft-decision-adaptive interpolation (SAI) is one of the state of the art image interpolation algorithms. However, SAI may produce serious artifacts in small-scale edge areas. Bicubic interpolation performs better in preserving the fidelity of small-scale edges. But, bicubic interpolation may cause zigzag and blurring artifacts around strong edges. The proposed method combines the advantages of SAI and Bicubic together through image fusion. The artifacts in the SAI interpolated image are first detected and then removed by fusing the SAI interpolated image with the bicubic interpolated image. Experiments demonstrate the effectiveness of the proposed method.
Year
Venue
Keywords
2012
ICPR
image interpolation algorithm,sai,zigzag artifacts,image fusion,interpolation,bicubic interpolation,small-scale edge fidelity preservation,edge detection,blurring artifacts,soft-decision-adaptive interpolation
Field
DocType
ISSN
Nearest-neighbor interpolation,Computer vision,Pattern recognition,Multivariate interpolation,Computer science,Bicubic interpolation,Interpolation,Stairstep interpolation,Demosaicing,Artificial intelligence,Image scaling,Bilinear interpolation
Conference
1051-4651
ISBN
Citations 
PageRank 
978-1-4673-2216-4
5
0.42
References 
Authors
4
3
Name
Order
Citations
PageRank
Xudong Kang145122.68
Shutao Li22594139.10
Jianwen Hu329412.03