Four tap Daubechies filter banks based on RNS

Azadeh Safari; Yinan Kong

doi:10.1109/ISCIT.2012.6381042

Four tap Daubechies filter banks based on RNS

Azadeh Safari^*, Yinan Kong

^*Corresponding author for this work

School of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-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 language	English
Title of host publication	2012 International Symposium on Communications and Information Technologies, ISCIT 2012
Place of Publication	Piscataway, N.J.
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	952-955
Number of pages	4
ISBN (Print)	9781467311571
DOIs	https://doi.org/10.1109/ISCIT.2012.6381042
Publication status	Published - 2012
Event	2012 International Symposium on Communications and Information Technologies, ISCIT 2012 - Gold Coast, QLD, Australia Duration: 2 Oct 2012 → 5 Oct 2012

Other

Other	2012 International Symposium on Communications and Information Technologies, ISCIT 2012
Country/Territory	Australia
City	Gold Coast, QLD
Period	2/10/12 → 5/10/12

Access to Document

10.1109/ISCIT.2012.6381042

Cite this

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title = "Four tap Daubechies filter banks based on RNS",

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.",

author = "Azadeh Safari and Yinan Kong",

year = "2012",

doi = "10.1109/ISCIT.2012.6381042",

language = "English",

isbn = "9781467311571",

pages = "952--955",

booktitle = "2012 International Symposium on Communications and Information Technologies, ISCIT 2012",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "2012 International Symposium on Communications and Information Technologies, ISCIT 2012 ; Conference date: 02-10-2012 Through 05-10-2012",

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Safari, A & Kong, Y 2012, Four tap Daubechies filter banks based on RNS. in 2012 International Symposium on Communications and Information Technologies, ISCIT 2012., 6381042, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, N.J., pp. 952-955, 2012 International Symposium on Communications and Information Technologies, ISCIT 2012, Gold Coast, QLD, Australia, 2/10/12. https://doi.org/10.1109/ISCIT.2012.6381042

Four tap Daubechies filter banks based on RNS. / Safari, Azadeh; Kong, Yinan.

2012 International Symposium on Communications and Information Technologies, ISCIT 2012. Piscataway, N.J. : Institute of Electrical and Electronics Engineers (IEEE), 2012. p. 952-955 6381042.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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AB - 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.

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Four tap Daubechies filter banks based on RNS

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