Video compressive sensing with 3-D Wavelet and 3-D Noiselet

A new compressive video sampling method is investigated. As opposed to other video sampling methods for which processing is conducted on a single-frame basis, this method is applied on multiple frames of the video stream. By exploiting the extension of Wavelet to 3-D with the support of Noiselet 3-D and combining it with fast reconstruction algorithms, this framework produces successful results quickly while maintaining the quality of the video stream. Despite its simplicty, this new approach outperforms other sophisticated methods.