Self-Similarity Superresolution for Resource-Constrained Image Sensor Node in Wireless Sensor Networks
Joint Authors
Ding, Baocang
Cao, Shiying
Li, Shiju
Xie, Li
Wang, Yuehai
Wang, Weidong
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-21
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Wireless sensor networks, in combination with image sensors, open up a grand sensing application field.
It is a challenging problem to recover a high resolution (HR) image from its low resolution (LR) counterpart, especially for low-cost resource-constrained image sensors with limited resolution.
Sparse representation-based techniques have been developed recently and increasingly to solve this ill-posed inverse problem.
Most of these solutions are based on an external dictionary learned from huge image gallery, consequently needing tremendous iteration and long time to match.
In this paper, we explore the self-similarity inside the image itself, and propose a new combined self-similarity superresolution (SR) solution, with low computation cost and high recover performance.
In the self-similarity image super resolution model (SSIR), a small size sparse dictionary is learned from the image itself by the methods such as KSVD.
The most similar patch is searched and specially combined during the sparse regulation iteration.
Detailed information, such as edge sharpness, is preserved more faithfully and clearly.
Experiment results confirm the effectiveness and efficiency of this double self-learning method in the image super resolution.
American Psychological Association (APA)
Wang, Yuehai& Wang, Weidong& Cao, Shiying& Li, Shiju& Xie, Li& Ding, Baocang. 2014. Self-Similarity Superresolution for Resource-Constrained Image Sensor Node in Wireless Sensor Networks. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-493165
Modern Language Association (MLA)
Wang, Yuehai…[et al.]. Self-Similarity Superresolution for Resource-Constrained Image Sensor Node in Wireless Sensor Networks. Mathematical Problems in Engineering No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-493165
American Medical Association (AMA)
Wang, Yuehai& Wang, Weidong& Cao, Shiying& Li, Shiju& Xie, Li& Ding, Baocang. Self-Similarity Superresolution for Resource-Constrained Image Sensor Node in Wireless Sensor Networks. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-493165
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-493165