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This paper proposes an efficient lossless video coding scheme based on bi-directional 3D prediction. In this scheme, a video signal at each pel is predicted using not only the current frame but also the motion-compensated previous and following frames. The resulting prediction errors are encoded using context-adaptive arithmetic coding. Coding parameters, such as prediction coefficients and motion vectors, are iteratively optimized for each frame so that a coding rate required for the frame can have a minimum. Experimental results indicate that periodical insertion of B-frames which are encoded using the bi-directional 3D prediction can reduce the overall coding rate by about 3 %.

In the present study, k - t SENSE was identified as a suitable base method to be improved achieving both short acquisition times and a cost-effective reconstruction. To enhance these characteristics of base method, a novel implementation is proposed, estimating the x - f sensitivity without the need for an explicit scan of the reference signals. Experimental results showed that the acquisition, computational times and image quality for the proposed method were improved compared to the standard k - t SENSE method.

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