Published October 2019 | Version v1
Journal article

Novel one-dimensional and two-dimensional forward discrete wavelet transform 5/3 filter architectures for efficient hardware implementation

  • 1. University of Belgrade, School of Electrical Engineering (Serbia)
  • 2. School of Electrical and Computer Engineering of Applied Studies (Serbia)

Description

We implemented a more efficient circuit for one-dimensional (1-D) forward discrete wavelet transform (DWT) 5/3 filter. Our design utilizes processing and memory resources that are wasted in some other state-of-the-art solutions and is at least 33% simpler in terms of used registers, is 17% simpler in terms of used logic elements, has 7% higher maximum operating frequency and has 2% lower total power dissipation than previously published designs. The advantages of our design are achieved by a novel non-stationary filter topology which reuses the same registers for generating both low-pass and high-pass output coefficients, in different time slots, due to feed-forward and feedback paths. Our design is suitable for image compression systems which use 5/3 filter, e.g., JPEG 2000. We also proposed two-dimensional (2-D) DWT 5/3 architecture which uses implemented 1-D DWT filter design. The proposed 2-D DWT architecture outperforms all previously published architectures in terms of required memory capacity, which is at least 20% lower than memory capacity in any other reported solution.

Additional details

Identifiers

Publishing Information

Journal Title
Journal of Real-Time Image Processing (Internet)
Journal Volume
16
Journal Issue
5
Journal Page Range
p. 1459-1478
ISSN
1861-8219

INIS

Country of Publication
Germany
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
54110916
Subject category
S97: MATHEMATICAL METHODS AND COMPUTING;
Descriptors DEI
COMPUTER ARCHITECTURE; DESIGN; FILTERS; IMPLEMENTATION; ONE-DIMENSIONAL CALCULATIONS; TOPOLOGY; TWO-DIMENSIONAL CALCULATIONS
Descriptors DEC
MATHEMATICS

Optional Information

Copyright
Copyright (c) 2016 Springer-Verlag Berlin Heidelberg