View interpolation confidence-aided compressed sensing of multiview images

In this paper, a hybrid multiview imaging system is considered, where traditional cameras and compressed sensing (CS) cameras are interleavingly placed. To improve the reconstruction quality of the CS cameras, the interpolated image from the two neighboring traditional cameras is used as side information. Different from existing CS-based multiview imaging systems, we incorporate in the CS reconstruction both the frame-level and pixel-level confidences of the interpolated view, based on the knowledge of occluded pixels and holes in it. Simulation results demonstrate the flexibility and superior performance of the proposed framework.