Video compressive sensing for overlapped encoded frames
Video compressive sensing for overlapped encoded frames
- Author(s): A. Matin and X. Wang
- DOI: 10.1049/cp.2017.0352
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- Author(s): A. Matin and X. Wang Source: IET 3rd International Conference on Intelligent Signal Processing (ISP 2017), 2017 page ()
- Conference: IET 3rd International Conference on Intelligent Signal Processing (ISP 2017)
- DOI: 10.1049/cp.2017.0352
- ISBN: 978-1-78561-707-2
- Location: London, UK
- Conference date: 4-5 Dec. 2017
- Format: PDF
This paper investigates a particular application of compressive sensing (CS) for reconstruction of video data cubes in temporal multiplexing scheme (TM) and focuses on exploring the after acquisition reconstruction process. We propose a new implementation based on weighted 3D total variation algorithm with residual based updating parameters under the alternating direction method of multipliers (ADMM) framework for video CS applications. This method enables a fast data reconstruction with higher resolution compared to the other bench mark methods and benefits from iterative updates on optimisation parameters. We explore the reconstruction quality of the proposed method by comparing the results to some of the state of the art algorithms used in video CS and discuss the calculation time needed to process the data. Last section of this paper investigates the behaviour of the algorithm while handling the large amount of data and explores the potentials of proposed scheme to capture longer video sequences.
Inspec keywords: iterative methods; optimisation; data compression; compressed sensing; image sequences; video coding; video signal processing
Subjects: Video signal processing; Optimisation techniques; Optimisation techniques; Image and video coding; Interpolation and function approximation (numerical analysis); Interpolation and function approximation (numerical analysis)
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