Modified VLSI implementation of DA-DWT for image compression
by M. Nagabushanam; P. Cyril Prasanna Raj; S. Ramachandran
International Journal of Signal and Imaging Systems Engineering (IJSISE), Vol. 5, No. 3, 2012

Abstract: The wavelet transformation is a widely used technique for image processing application. Hence compared to traditional transforms such as the Fast Fourier Transform (FFT) and Discrete Cosine Transform (DCT), wavelet transform holds both time and frequency information, based on a multi-resolution analysis framework. There is a growing need to embed it into a real system. Field Programmable Gate Array (FPGA) implementation of Discrete Wavelet Transform (DWT) results in higher processing speed and lower costs when compared to other implementation methods. In this work a modified DA which performs low-pass and high-pass filtering improves the computational speed of DWT. A 9/7 filter is designed using modified DA architecture to perform low-pass and high-pass filtering. By using optimised DA architecture the LUT size is reduced from 2⁹ to 2⁴ locations in 9th order filter and 2⁷ to 2⁴ in 7th order filter. The design is verified in a Verilog HDL simulator and implemented on XILINX Virtex5 FPGA board.

Online publication date: Wed, 31-Dec-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Signal and Imaging Systems Engineering (IJSISE):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com