Adaptive video compressed sampling in the wavelet domain
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- 作者：Hui-dong Daia ; Guo-hua Gua ; gghnjust@mail.njust.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Wei-ji Hea ; b ; c ; hewj@mail.njust.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Qian Chena ; Tian-yi Maoa
- 关键词：Computational imaging ; Image reconstruction techniques ; Time imaging ; Wavelets
- 刊名：Optics & Laser Technology
- 出版年：2016
- 出版时间：July 2016
- 年：2016
- 卷：81
- 期：Complete
- 页码：90-99
- 全文大小：3573 K
文摘
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A multiscale framework for compressed video acquisition is proposed.
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Redundancy is removed by using wavelet-based sparse sampling and motion estimation.
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Video sequences can be retrieved from compressed measurements in real time.
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The proposed method allows adaptive control over the reconstructed video quality.
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The reconstruction time and measurements required can be significantly reduced.