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UW
EE
ACME Lab
Scott Hauck
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SPIHT Image Compression
Adaptive Computing Machines
and Emulators Lab
Electrical Engineering, University
of Washington
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Set Partitioning in
Hierarchical Trees (SPIHT) is a wavelet-based image compression coder that
offers a variety of good characteristics. These characteristics include:
- Good image quality
with a high PSNR
- Fast coding and
decoding
- A fully progressive
bit-stream
- Can be used for
lossless compression
- Ability to code for
exact bit rate or PSNR
The main advantage of SPIHT is that it is fully
progressive, meaning that we do not need the whole file to see the image. The
image’s PSNR will be directly related to the amount of the file
received from the transmitter. This means that our image quality will only
increase with the percentage of the file received. After the SPIHT
transformation some regularities will exist in the
file. These regularities may allow us to further compress the file.
This work is part of a NASA-sponsored investigation into the design and
implementation of a space-bound FPGA-based Hyperspectral Image Compression
algorithm. We have selected the
SPIHT compression routine and optimized the algorithm for implementation in
hardware. Our system was developed and tested on an Annapolis
Microsystems WildStar board populated with
Xilinx Virtex-E parts.
Code
source_wavelet.zip
spiht_c.zip
spiht_fpga_prog.zip
spiht_vhdl.zip
Researchers
- Scott Hauck,
Associate Professor in the EE Department at University Washington, and
director of ACME Labs.
- Thomas Fry
- Todd Owen
References
[1] T. Fry, S. Hauck, "SPIHT
Image Compression on FPGAs", to appear in IEEE Transactions on
Circuits and Systems for Video Technology.
[2] T. Owen, S. Hauck, "Arithmetic
Compression on SPIHT Encoded Images", University of Washington,
Dept. of EE Technical Report UWEETR-2002-0007, 2002.
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