Improvement of Image Super-resolution Algorithms using Iterative Back Projection

被引:2
|
作者
Blanco Castro E. [1 ]
Nakano M. [1 ]
Sanchez Perez G. [1 ]
Perez Meana H. [1 ]
机构
[1] ESIME Culhuacan, Instituto Politécnico Nacional, Ciudad de México
来源
| 2017年 / IEEE Computer Society卷 / 15期
关键词
Iterative back projection; Lanczos interpolation method; Super-resolution; SWT-based interpolation;
D O I
10.1109/TLA.2017.8070429
中图分类号
学科分类号
摘要
This paper presents a scheme for improving the image quality produced by most super-resolution (SR) algorithms. In the proposed scheme the quality of a given image whose size has been increased by a SR system, is improved by using an iterative back projection and sharpening process. The improvement of the image quality obtained by using the proposed method used together with several previously proposed image interpolation algorithms is compared with those obtained by using classic interpolation methods and some other state-of-the-art algorithms. In all cases, the image is evaluated using several Image quality assessment models such as: Visual Information Fidelity (VIF), Structural Similarity Index Measure (SSIM), and SpatialSpectral Entropy-based Quality index (SSEQ), as well as subjective way. Evaluation results show the desirable features of the proposed scheme. © 2003-2012 IEEE.
引用
收藏
页码:2214 / 2219
页数:5
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