Compressive sensing and differential image-motion estimation

Compressive-sensing cameras are an important new class of sensors that have different design constraints than standard cameras. Surprisingly, little work has explored the relationship between compressive-sensing measurements and differential image motion. We show that, given modest constraints on the measurements and image motions, we can omit the computationally expensive compressive-sensing reconstruction step and obtain more accurate motion estimates with significantly less computation time. We also formulate a compressive-sensing reconstruction problem that incorporates known image motion and show that this method outperforms the state-of-the-art in compressive-sensing video reconstruction.

• Type: Conference
• Year: 2010
• Where: ICASSP
• Authors: Nathan Jacobs, S. Schuh, Robert Pless
• Keywords: Compressive-sensing Reconstruction, Expensive Compressive-sensing Reconstruction, ICASSP 2010, Image Motion, Signal Processing