A new framework for multi-view image coding

We propose a new framework for the compression of multi-view image sequences. We define three types of frames, and each type is coded with a different strategy. The first type of frame is independently coded and is called I-frame. The second is a B-frame and is coded using a bidirectional disparity estimator and a modified version of the subspace projection technique (SPT). The SPT algorithm compensates the photometric variations between the multi-view frames. The projection block size is chosen to be small so that coding of the residual image is not necessary. On the other hand, to decrease the overhead information both disparity vectors and projection coefficients are coded with a lossy scheme. Finally, the third type of frame is a P-frame and is coded by employing a unidirectional disparity estimator and DC level compensation.