Enhanced scalable to lossless audio coding scheme

Scalable to lossless (SLS) audio coding is a state-of-art audio coding technique that has been adopted as MPEG scalable audio coding tool. To realize bit-plane refinement, this technique employs bit-plane arithmetic coding for lossless entropy coding, and Laplacian distribution is used to model the input data to realize high compression efficiency. In this paper, bit-plane probability is analyzed when generalized Gaussian distribution is used to model the input data. Based on the result of bit-plane probability for generalized Gaussian distribution, a low cost bit-plane arithmetic coding method is presented. This scheme is implemented in the SLS audio coding platform. With the same computational complexity, the proposed algorithm presents higher compression efficiency than SLS.