Online multi-frame super-resolution of image sequences

被引:4
|
作者
Xu, Jieping [1 ]
Liang, Yonghui [2 ]
Liu, Jin [2 ]
Huang, Zongfu [2 ]
Liu, Xuewen [2 ]
机构
[1] Space Engn Univ, 1 Bayi Rd, Beijing 101416, Peoples R China
[2] Natl Univ Def Technol, Coll Optoelect Sci & Engn, 109 Deya Rd, Changsha 410073, Hunan, Peoples R China
关键词
Super-resolution; Image processing; Image sequences; Online image processing; RECONSTRUCTION; RESOLUTION; MULTIPLE;
D O I
10.1186/s13640-018-0376-5
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Multi-frame super-resolution recovers a high-resolution (HR) image from a sequence of low-resolution (LR) images. In this paper, we propose an algorithm that performs multi-frame super-resolution in an online fashion. This algorithm processes only one low-resolution image at a time instead of co-processing all LR images which is adopted by state-of-the-art super-resolution techniques. Our algorithm is very fast and memory efficient, and simple to implement. In addition, we employ a noise-adaptive parameter in the classical steepest gradient optimization method to avoid noise amplification and overfitting LR images. Experiments with simulated and real-image sequences yield promising results.
引用
收藏
页数:10
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