Four tap Daubechies filter banks based on RNS

Azadeh Safari*, Yinan Kong

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

3 Citations (Scopus)

Abstract

Discrete wavelet transform (DWT) has shown great performance in digital image compression and denoising applications. It is the transformation used for source encoding in JPEG2000 still image compression standard and FBI wavelet scalar quantization. DWT is capable of fast image compression at less area and low power consumption. This paper presents 4-tap orthogonal DWT based on the residue number system. Hardware complexity reduction and design improvement are achieved by employing RNS for arithmetic operations and LUT sharing between low pass and high pass filters. The RNS based DWT is simulated and implemented on the Xilinx FPGA to verify the functionality and efficiency of the design.

Original languageEnglish
Title of host publication2012 International Symposium on Communications and Information Technologies, ISCIT 2012
Place of PublicationPiscataway, N.J.
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages952-955
Number of pages4
ISBN (Print)9781467311571
DOIs
Publication statusPublished - 2012
Event2012 International Symposium on Communications and Information Technologies, ISCIT 2012 - Gold Coast, QLD, Australia
Duration: 2 Oct 20125 Oct 2012

Other

Other2012 International Symposium on Communications and Information Technologies, ISCIT 2012
CountryAustralia
CityGold Coast, QLD
Period2/10/125/10/12

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