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Decoding of purely compressed-sensed video

We consider a video acquisition system where motion imagery is captured only by direct compressive sampling (CS) without any other form of intelligent encoding/processing. In this context, the burden of quality video sequence reconstruction falls solely on the decoder/player side. We describe a video CS decoding method that implicitly incorporates motion estimation via sliding-window sparsity-aware recovery from locally estimated Karhunen-Loeve bases. Experiments presented herein illustrate and support these developments.