A new trellis vector residual quantizer: applications to image coding

We present a new trellis coded vector residual quantizer (TCVRQ) that combines trellis coding and vector residual quantization. We propose new methods for computing quantization levels and experimentally analyze the performances of our TCVRQ in the case of still image coding. Experimental comparisons show that our quantizer performs better than the standard tree and exhaustive search quantizers based on the generalized Lloyd algorithm (GLA)