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Superresolution Reconstruction of Video Sequence Using a Coarse-to-Fine Registration and Optimal Interpolation Strategy : Ricostruzione di una videosequenza utilizzando tecniche di registrazione ed intermpolazione ottimizzata, in: International Journal of Advanced Robotic Systems

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Autore Zhu, Zunshang; Liu, Xiaolin; Yuan, Yun; Zhu, Xianwei; Yu, Qifeng
Pubblicato  InTech Open Access Publisher, 2013
edizione  
Volume  
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Abstract In this paper, a novel video superresolution
(SR) reconstruction approach using a coarse‐to‐fine
registration and optimal interpolation strategy is
proposed. Firstly, initial correspondence between two
consecutive frames is identified by scale invariant
feature transform (SIFT) features under the
homography transformation model. Then, a least
square matching (LSM) method is employed to achieve
a high‐precision estimation of homography. Finally,
optimal interpolation using the iterative back
projection‐based deblurring method was designed to
obtain a high‐resolution grid interpolation and to
improve the visual quality of the final SR results. The
experiment results demonstrate that the proposed
method provides an available SR approach in
engineering applications.
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Articoli a Rivista
2000 ed oltre
Superordinate work
 
no fulltext found International Journal of Advanced Robotic Systems
Autore: Ottaviano, Erika; Ceccarelli, Marco; Husty, Manfred; Yu, Sung-Hoon; Kim, Yong-Tae; Park, Chang-Woo; Hyun, Chang-Ho; Chen, Xiulong; Feng, Weiming; Sun, Xianyang; Gao, Qing; Grigorescu, Sorin M.; Pozna, Claudiu; Liu, Wanli; Zhankui, Wang; Guo, Meng; Fu, Guoyu; Zhang, Jin; Chen, Wenyuan; Peng, Fengchao; Yang, Pei; Chen, Chunlin; Ding, Rui; Yu, Junzhi; Yang, Qinghai; Tan, Min; Polden, Joseph; Pan, [...]
Pubblicato: 2004
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Documents: International Journal of Advanced Robotic Systems
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Europeana FaviconEuropeana  http://www.europeana.eu/portal/record/2020801/dmglib_handler_docum_32275009.html
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Time of publication 2013
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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License

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