It is shown how the signal-to-noise (SNR) scaleable coder can benefit from
optimizing quantified discrete cosine transform (DCT) coefficients, in a ra
te-distortion context, in order to reduce bit-rate overheads. The technique
is based on adjusting the quantized coefficients rather than dropping them
, since the former gives finer control over rate-distortion trade-offs. The
widely used Lagrangian optimization technique is then applied to arrive at
the optimally adjusted coefficients block. We show that such an optimizati
on is very efficient for the second layer, but has little effect on the bas
e layer.