Paper
24 June 2005 A high-throughput two channel discrete wavelet transform architecture for the JPEG2000 standard
Hossein Badakhshannoory, Mahmoud Reza Hashemi, Alireza Aminlou, Omid Fatemi
Author Affiliations +
Proceedings Volume 5960, Visual Communications and Image Processing 2005; 596048 (2005) https://doi.org/10.1117/12.632673
Event: Visual Communications and Image Processing 2005, 2005, Beijing, China
Abstract
The Discrete Wavelet Transform (DWT) is increasingly recognized in image and video compression standards, as indicated by its use in JPEG2000. The lifting scheme algorithm is an alternative DWT implementation that has a lower computational complexity and reduced resource requirement. In the JPEG2000 standard two lifting scheme based filter banks are introduced: the 5/3 and 9/7. In this paper a high throughput, two channel DWT architecture for both of the JPEG2000 DWT filters is presented. The proposed pipelined architecture has two separate input channels that process the incoming samples simultaneously with minimum memory requirement for each channel. The architecture had been implemented in VHDL and synthesized on a Xilinx Virtex2 XCV1000. The proposed architecture applies DWT on a 2K by 1K image at 33 fps with a 75 MHZ clock frequency. This performance is achieved with 70% less resources than two independent single channel modules. The high throughput and reduced resource requirement has made this architecture the proper choice for real time applications such as Digital Cinema.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hossein Badakhshannoory, Mahmoud Reza Hashemi, Alireza Aminlou, and Omid Fatemi "A high-throughput two channel discrete wavelet transform architecture for the JPEG2000 standard", Proc. SPIE 5960, Visual Communications and Image Processing 2005, 596048 (24 June 2005); https://doi.org/10.1117/12.632673
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KEYWORDS
Discrete wavelet transforms

JPEG2000

Image compression

Clocks

Linear filtering

Matrices

Multiplexers

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