An improved super resolution image reconstruction using SVD based fusion and blind deconvolution techniques

被引：0

作者：

Geetha Devi, A. ^{[1
]}

Madhu, T. ^{[2
]}

Lal Kishore, K. ^{[3
]}

机构：

[1] Dept., of ECE, PVP Siddhartha Institute of Technology, Vijayawada, India

[2] Swarnandra Institute of Engg., and Tech, Narasapuram, India

[3] Jawaharlal Nehru Technological University, Ananthapur, Andhra Pradesh, India

来源：

International Journal of Signal Processing, Image Processing and Pattern Recognition | 2014年 / 7卷 / 01期

关键词：

Image fusion - Deconvolution - Optical resolving power - Convolution - Image enhancement - Image reconstruction;

D O I：

10.14257/ijsip.2014.7.1.27

中图分类号：

学科分类号：

摘要：

The High resolution (HR) images can be obtained from a set of noisy and blurred low resolution (LR) observations by applying the Super Resolution (SR) technique. In this paper a new SR algorithm that uses Singular Value Decomposition (SVD) based Fusion and Blind deconvolution techniques is proposed. The algorithm significantly improves the resolution and eliminates the noise and blur associated with low resolution images, when compared with the other existing methods. © 2014 SERSC.

引用

页码：283 / 298