Paper
8 June 2012 Adaptive compressive sensing algorithm for video acquisition using a single pixel camera
Imama Noor, Eddie L. Jacobs
Author Affiliations +
Abstract
In this paper we propose a method to acquire compressed measurements for efficient video reconstruction using a single pixel camera. The method is suitable for implementation using a single pixel detector along with digital micromirror device (DMD) or other forms of spatial light modulators (SLMs). Normal implementations of single pixel cameras are able to compress the spatial dimensions but the fact that it needs to make measurements in a sequential manner before the scene changes makes it inefficient for video imaging. In this paper we discuss a measurement scheme that exploits sparsity along the time axis. After acquiring all measurements required for the first frame, measurements are only acquired from the areas which change in subsequent frames. Segmentation of the first frame is performed and change detection is performed on each segmented area. Compressed measurements are only made for changing segments. We show the reconstruction results for a few test sequences commonly used for performance analysis.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Imama Noor and Eddie L. Jacobs "Adaptive compressive sensing algorithm for video acquisition using a single pixel camera", Proc. SPIE 8365, Compressive Sensing, 83650J (8 June 2012); https://doi.org/10.1117/12.919174
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Cited by 1 scholarly publication.
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KEYWORDS
Cameras

Video

Video compression

Compressed sensing

Reconstruction algorithms

Digital micromirror devices

Digital signal processing

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