DocumentCode :
631985
Title :
VLSI architecture of multiplier-less DWT image processor
Author :
Safari, Abdolreza ; Niras, C.V. ; Yinan Kong
Author_Institution :
Dept. of Electron., Macquarie Univ., Sydney, NSW, Australia
fYear :
2013
fDate :
17-19 April 2013
Firstpage :
280
Lastpage :
284
Abstract :
High performance digital image processing is considered a significant contributes of high performance embedded computing and signal processing projects. In this paper, we have provided the design and implementation of VLSI architecture of multiplier-less DWT image processor. The filter coefficients multiplication is resolved by simple shift and adds. Multi-resolution features of bi-orthogonal DWT and a new scheme of reading images from memory are employed to reduce the memory requirements. The image is processed by the overlapped blocks without dividing the image into sub blocks. The experimental results are provided for power, area and hardware utilization. The proposed design is smaller and faster than designs with multiplier based designs. This is, to our knowledge, the first hardware design paper that provides BDWT image processor from theory description to the front-end synthesis.
Keywords :
VLSI; discrete wavelet transforms; filtering theory; image processing equipment; image resolution; integrated circuit design; BDWT image processor; VLSI architecture; biorthogonal DWT; digital image processing; discrete wavelet transform; filter coefficient multiplication; front-end synthesis; hardware utilization; multiplier based design; multiplierless DWT image processor; multiresolution feature; reading image scheme; signal processing project; Convolution; Discrete wavelet transforms; Filter banks; Memory management; Very large scale integration; Synthesis; VLSI; discrete wavelet transform; image processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON Spring Conference, 2013 IEEE
Conference_Location :
Sydney, NSW
Print_ISBN :
978-1-4673-6347-1
Type :
conf
DOI :
10.1109/TENCONSpring.2013.6584456
Filename :
6584456
Link To Document :
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