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1. 中国科学院, 长春光学精密机械与物理研究所,吉林 长春,130033
2. 吉林大学通信工程学院,吉林 长春,130025
3. 长春大学电子信息工程学院,吉林 长春,130022
收稿日期:2003-12-16,
修回日期:2004-02-15,
网络出版日期:2004-04-15,
纸质出版日期:2004-04-15
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王丽荣, 申铉国, 王延杰. 基于提升方法的整数小波在DSP上的实现[J]. 光学精密工程, 2004,(2): 185-189
WANG Li-rong, SHEN Xuan-guo, WANG Yan-jie. Implementation of integer wavelet transform basedon lifting scheme on DSP[J]. Editorial Office of Optics and Precision Engineering, 2004,(2): 185-189
在理论上探讨了基于提升框架的整数小波变换(IWT)及其硬件实现问题
并在TI公司的TMS320C6000DSP上实现了图像处理中两种常用滤波器LEGall(5
3)
Sweldens(13
7)提升结构的整数小波变换
同时在DSP上对上述滤波器实现了滤波器组(FBS)方法的离散小波变换(DWT).将提升方法的IWT同FBS方法的DWT在硬件上的运行时间作了比较.结果表明
IWT的运行速度比DWT的运行速度快.本结果可用于评价DSP在图像编码中的运行情况
也可估计出采用此种算法每秒能处理的图像数目.理论和实验均表明
基于提升方法的整数小波变换是一种运行速度快
易于硬件实现
并能实现图像无损压缩的算法.
Integer wavelet transform based on lifting scheme and its implementation on hardware are discussed in theory
and IWT of filters LEGall(5
3)and Sweldens(13
7)usually used in image coding are implemented on TI TMS320c6000DSP
and then the discrete wavelet transform based on filter bank scheme is implemented on DSP. The comparison of IWT with DWT in hardware operating time shows that IWT is always faster than DWT. The results reported on the graphs can be used to estimate the number of images processed by these algorithms per second and to assess the performance of DSP in fulfilling image coding tasks. So the IWT based on lifting scheme is an algorithm with higher execution speed and it is easier to implement on hardware
and it can be used to achieve compression of image without loss.
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许树新,赵继,王洪刚.自由曲面数控加工中刀具破损的小波分析[J] .光学精密工程,2000,8(4):360-364.XU SH X, ZHAO J, WANG H G. Analysis of tool breakage in CNC manufacturing using wavelet transform[J] .Optics and Precision Engineering, 2000,8(4): 360-364.(in Chinese)
苏绍景,吕海宝,李圣怡.基于DSP的宽动态范围莫尔条纹计数与精密细分技术[J] .光学精密工程,2001,9(2):146-150.SU SH J, LU H B, LI SHY. DSP based counting and ultra-precision subdivision of Moire fringe with wide dynamic range[J] . Optics and Precision Engineering, 2001,9(2): 146-150.(in Chinese)
HAAPALA K, KOLINUMMI P, HAMALAINEN T, et al. Parallel DSP implementation of wavelet transform in image compression[C] . Proc ISCAS 2000-IEEE International Symposium on Circuits and Systems, Geneva, Switzerland.
YILIANG B, HOUNG-JYH W, KUO C-C J, et al. Design of a memory scalable wavelet-based image code[C] . Proc of ICIP98-IEEE International Conference on Image Processing.
DAUBECHIES I, SWELDENS W. Factoring wavelet transforms into lifting steps[J] . J Fourier Anal Appl, 1998,4(3):247-269.
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SWELDENS W. The lifting scheme: A custom-design construction of second generation wavelet SIAM[J] . Journal of Mathematical Analysis, 1998,29(2):511-546.
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