Quantization error analysis of image sub-band filter banks

Author

Westerink, P.H. ; Biemond, J. ; Boekee, D.E.

Author_Institution

Dept. of Electr. Eng., Delft Univ. of Technol., Netherlands

fYear

1988

fDate

7-9 June 1988

Firstpage

819

Abstract

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.<>

Keywords

analogue-digital conversion; coding errors; digital filters; error analysis; filtering and prediction theory; picture processing; QMF; adaptive quantizers; aliasing errors; coding errors; image sub-band filter banks; local quantizer mismatch; mean-squared-error calculation; picture processing; quadrature-mirror-filter system; quantisation error analysis; quantizer model; random errors; signal errors; subband filter; subjective evaluation; Band pass filters; Channel bank filters; Computer errors; Error analysis; Filtering; Finite impulse response filter; Image analysis; Image reconstruction; Quantization; Signal design;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1988., IEEE International Symposium on

Conference_Location

Espoo, Finland

Type

conf

DOI

10.1109/ISCAS.1988.15050

Filename

15050