Quantization error analysis of image sub-band filter banks
Peter H. Westerink, Jan Biemond, Dick E. Boekee · 2003
The authors explicitly incorporate quantization errors into a quadrature-mirror-filter system by means of a quantizer model. This makes it possible to discriminate between different types of coding errors, such as aliasing errors, signal errors, and random errors. Both a mean-squared-error calculation and a subjective evaluation of the coding errors show that the aliasing errors are negligible for filter lengths of 16 taps or more. Random errors are especially annoying in flat areas and are due to a local quantizer mismatch. This kind of error can be reduced by utilizing adaptive quantizers.>