NDLI: A comparison of hardware implementations of the biorthogonal 9/7 DWT: convolution versus lifting

Content Provider	IEEE Xplore Digital Library
Author	Kotteri, K.A. Barua, S. Bell, A.E. Carletta, J.E.
Copyright Year	2004
Abstract	The filter bank approach for computing the discrete wavelet transform (DWT), which we call the convolution method, can employ either a nonpolyphase or polyphase structure. This work compares filter banks with an alternative polyphase structure for calculating the DWT-the lifting method. We look at the traditional lifting structure and a recently proposed "flipping" structure for implementing lifting. All filter bank structures are implemented on an Altera field-programmable gate array. The quantization of the coefficients (for implementation in fixed-point hardware) plays a crucial role in the performance of all structures, affecting both image compression quality and hardware metrics. We design several quantization methods and compare the best design for each approach: the nonpolyphase filter bank, the polyphase filter bank, the lifting and flipping structures. The results indicate that for the same image compression performance, the flipping structure gives the smallest and fastest, low-power hardware.
Sponsorship	IEEE Circuits and Systems Society
Starting Page	256
Ending Page	260
Page Count	5
File Size	180946
File Format	PDF
ISSN	15497747
Volume Number	52
Issue Number	5
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-05-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hardware Discrete wavelet transforms Convolution Filter bank Finite impulse response filter Field programmable gate arrays Quantization Image coding Filtering Design methodology quantization Discrete wavelet transform (DWT) field-programmable gate array (FPGA) flipping lifting
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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