Scalar quantization error analysis for image subband coding using QMFs
- 1 January 1992
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Signal Processing
- Vol. 40 (2) , 421-428
- https://doi.org/10.1109/78.124952
Abstract
The authors analyze the coding errors due to quantization by explicitly incorporating a mathematical model for a Lloyd-Max quantizer into a quadrature mirror filter (QMF) splitting and reconstruction scheme (P. H. Westerink et al., 1988). This approach explicitly incorporates quantization errors into a QMF system by means of a quantizer model. This makes it possible to discriminate between different types of coding errors, such as the aliasing error. Other errors that can be distinguished are a QMF design error, a signal error, and a random error, which is uncorrelated with the original image. Both a mean-squared error calculation and a subjective judgment of the coding errors show that the aliasing errors can be neglected for filter lengths of 12 taps or more. The signal error determines the sharpness of the reconstructed image, while the random error is most visible in the flat areasKeywords
This publication has 7 references indexed in Scilit:
- Digital coding of speech in sub-bandsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- A filter family designed for use in quadrature mirror filter banksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- An optimal bit allocation algorithm for sub-band codingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Quadrature mirror filter banks, M-band extensions and perfect-reconstruction techniquesIEEE ASSP Magazine, 1987
- Subband coding of imagesIEEE Transactions on Acoustics, Speech, and Signal Processing, 1986
- Exact reconstruction techniques for tree-structured subband codersIEEE Transactions on Acoustics, Speech, and Signal Processing, 1986
- Multi-dimensional sub-band coding: Some theory and algorithmsSignal Processing, 1984