A New Method for Superresolution Image Reconstruction Based on Surveying Adjustment
Joint Authors
Zhu, Jianjun
Zhou, Cui
Fan, Donghao
Zhou, Jinghong
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-09
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
A new method for superresolution image reconstruction based on surveying adjustment method is described in this paper.
The main idea of such new method is that a sequence of low-resolution images are taken firstly as observations, and then observation equations are established for the superresolution image reconstruction.
The gray function of the object surface can be found by using surveying adjustment method from the observation equations.
High-resolution pixel value of the corresponding area can be calculated by using the gray function.
The results show that the proposed algorithm converges much faster than that of conventional superresolution image reconstruction method.
By using the new method, the visual feeling of reconstructed image can be greatly improved compared to that of iterative back projection algorithm, and its peak signal-to-noise ratio can also be improved by nearly 1 dB higher than the projection onto convex sets algorithm.
Furthermore, this method can successfully avoid the ill-posed problems in reconstruction process.
American Psychological Association (APA)
Zhu, Jianjun& Zhou, Cui& Fan, Donghao& Zhou, Jinghong. 2014. A New Method for Superresolution Image Reconstruction Based on Surveying Adjustment. Journal of Nanomaterials،Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1042039
Modern Language Association (MLA)
Zhu, Jianjun…[et al.]. A New Method for Superresolution Image Reconstruction Based on Surveying Adjustment. Journal of Nanomaterials No. 2014 (2014), pp.1-6.
https://search.emarefa.net/detail/BIM-1042039
American Medical Association (AMA)
Zhu, Jianjun& Zhou, Cui& Fan, Donghao& Zhou, Jinghong. A New Method for Superresolution Image Reconstruction Based on Surveying Adjustment. Journal of Nanomaterials. 2014. Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1042039
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1042039