The application of nonlinear filter banks to efficient rendering and progressive transmission of light fields

This paper studies the application of perfect reconstruction nonlinear filter banks (NFB) to the efficient rendering and progressive transmission of light fields. The reference pictures in the conventional disparity-compensated prediction encoder are decomposed using the NFB to reduce the amount of main memory needed to support fast rendering. The NFB has very low arithmetic complexity for reconstruction and small filter support which considerably simplifies the random access operations. It can also be applied to the predicted light field images to support progressive transmission. Different prediction and reconstruction strategies are also investigated to achieve different tradeoffs between memory requirement and decoding speed.