Robust 3-D subband video coder

Abstract

We explain our results on development of a robust video coder, The coder consists of 3D subband filtering in the first stage, an optimized scalar quantization (SQ) of lowest tempo-spatial frequency subband, and a pyramid vector quantization (PVQ) for high frequency subbands. To increase robustness to noise productive enumeration is used for PVQ. Also with phase scrambling the distribution of the lowest temporal-spatial band is changed to Gaussian which results in a better SQ coding gain for this band. The output indices of SQ were sent using a folded binary code to improve noise robustness. Results show that at high bit-error rate (5/spl times/10/sup -3/) the coder peak signal to noise ratio drops a maximum 5.3 dB.