DocumentCode
2832803
Title
An improved fast parallel SPIHT algorithm and its FPGA implementation
Author
Yin-hua Wu ; Long-xu Jin ; Hong-jiang Tao
Author_Institution
Grad. Sch., Chinese Acad. of Sci., Beijing, China
Volume
1
fYear
2010
fDate
21-24 May 2010
Abstract
In view of the current stringent need to the real-time compression algorithm of the high-speed and high-resolution image, such as remote sensing or medical image and so on, in this paper, No List SPIHT (NLS) algorithm has been improved, and a fast parallel SPIHT algorithm is proposed, which is suitable to implement with FPGA. It can deal with all bit-planes simultaneously, and process in the speed of 4pixels/period, so the encoding time is only relative to the image resolution. The experimental results show that, the processing capacity can achieve 200MPixels/s, when the input clock is 50MHz, the system of this paper need 2.29ms to complete lossless compression of a 512×512×8bit image, and only requires 1.31ms in the optimal state. The improved algorithm keeps the high SNR unchanged, increases the speed greatly and reduces the size of the needed storage space. It can implement lossless or lossy compression, and the compression ratio can be controlled. It could be widely used in the field of the high-speed and high-resolution image compression.
Keywords
data compression; field programmable gate arrays; image coding; image resolution; FPGA implementation; fast parallel SPIHT algorithm; frequency 50 MHz; high resolution image compression; high speed image resolution; lossless compression; lossy compression; real-time compression algorithm; set partitioning in hierarchical trees; Biomedical imaging; Biomedical optical imaging; Field programmable gate arrays; High speed optical techniques; Image coding; Optical sensors; Remote sensing; Space technology; Transform coding; Wavelet transforms; FPGA; SPIHT; high-resolution; image compression; parallel;
fLanguage
English
Publisher
ieee
Conference_Titel
Future Computer and Communication (ICFCC), 2010 2nd International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-5821-9
Type
conf
DOI
10.1109/ICFCC.2010.5497806
Filename
5497806
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