The symmetric convolution approach to the nonexpansive implementations of FIR filter banks for images
- 1 January 1993
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 5, 65-68 vol.5
- https://doi.org/10.1109/icassp.1993.319748
Abstract
The authors describe symmetric convolution and its use for the nonexpansive implementation of multirate filter banks for images. Symmetric convolution is a formalized approach to convolving symmetric FIR (finite impulse response) filters with symmetrically extended data. It is efficient because the discrete sine and cosine transforms can be used to perform the convolution as a transform-domain multiplication. The authors explain how to use symmetric convolution to implement a multiband filter bank for finite-length data that restricts the number of samples in the subbands but still gives perfect reconstruction.Keywords
This publication has 3 references indexed in Scilit:
- Subband coding of images with octave band tree structuresPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Symmetric convolution and the discrete sine and cosine transformsIEEE Transactions on Signal Processing, 1994
- Support constraints for M-band alias-free filter banksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1992