Adaptive compressive sensing algorithm for video acquisition using a single pixel camera


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 SPIE.

Publication Title

Proceedings of SPIE - The International Society for Optical Engineering