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Description: openjpeg的最新版本1.3。
与1.2版相比，主要对DWT与T1编码部分进行了速度优化。-openjpeg the latest version of 1.3. Compared with the 1.2 version, mainly for the DWT with the T1 encoding part of a speed optimization.
Platform: |
Size: 1004544 |
Author: wgy |
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Description: One dimensional wavelet transform s input data from file dataIn.txt
h[] : -1 0 1 2
g[] : 1 1 0 3
c[] : 1 4 2 5 4 6 7 8-One dimensional wavelet transform s input data from file dataIn.txt
h[] :-1 0 1 2
g[] : 1 1 0 3
c[] : 1 4 2 5 4 6 7 8
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Size: 1024 |
Author: 王通 |
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Description: 2-band discrete wavelet transform (DWT)
Dual-Tree Complex Wavelet Packet-The 2-band discrete wavelet transform (DWT) provides
an octave-band analysis in the frequency domain, but this
might not be ‘optimal’ for a given signal. The discrete wavelet
packet transform (DWPT) provides a dictionary of bases over
which one can search for an optimal representation (without
constraining the analysis to an octave-band one) for the signal
at hand. However, it is well known that both the DWT and the
DWPT are shift-varying. Also, when these transforms are extended
to 2-D and higher dimensions using tensor products, they
do not provide a geometrically oriented analysis. The dual-tree
complex wavelet transform (DT-CWT), introduced by Kingsbury,
is approximately shift-invariant and provides directional analysis
in 2-D and higher dimensions. In this paper, we propose a method
to implement a dual-tree complex wavelet packet transform (DTCWPT),
extending the DT-CWT as the DWPT extends the DWT.
To find the best complex wavelet packet frame for a given
signal, w
Platform: |
Size: 4096 |
Author: 王方 |
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Description: 用于JPEG2000的53小波VHDL源码-53 for the JPEG2000 wavelet VHDL source code
Platform: |
Size: 1024 |
Author: 闫霜山 |
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Description: 本程序用DWT实现二维小波变换,进行二维小波分解并显示分解结果。-Mallat algorithm for 2-D wavelet transform. M-file Download
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Size: 1024 |
Author: 王凌霞 |
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Description: 复杂的3 d双树离散小波变换(DWT)同样也引起了小波的两倍作为真正的3 d双树离散小波变换(DWT)。这两个小波在每一个方向,可以解释为真实的和虚构的部分一个复数的3 d小波。复杂的3 d双树被实现为八严格采样可分3 d DWTs操作在并行。然而,不同的过滤器集用于每个三个维度。
-3 d complex- Doubletree discrete wavelet transform (DWT) also caused the wavelet twice as a real 3 d Doubletree discrete wavelet transform (DWT). Two wavelet in each direction, can be interpreted as the real and imaginary part of a complex 3 d wavelet. The complicated 3 d Doubletree is implemented as eight rigorous sampling can be divided into 3 d DWTs operating in parallel. However, a different set of filters for each of the three dimensions.
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Size: 1024 |
Author: 陈静 |
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Description: MATLAB函数为pm哈尔1-D DWT算法
离散哈尔的基本原理小波变换-MATLAB function for pm Haar 1-D DWT algorithm,Fundamentals of the discrete Haar wavelet transform
Platform: |
Size: 1024 |
Author: 张成 |
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Description: 调用函数来计算正，逆哈尔1-D DWT的主程序-Main program for calling functions to compute forward and inverse Haar 1-D DWT
Platform: |
Size: 1024 |
Author: 张成 |
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Description: 调用函数来计算正向和反向的2-D的Haar小波主程序-Main program for calling functions to compute forward and inverse 2-D Haar DWT
Platform: |
Size: 1024 |
Author: 张成 |
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Description: Image compression is one of the prominent topics in image processing that plays a very important role in
reducing image size for real-time transmission and storage. Many of the standards recommend the use of DWT
for image compression. The computational complexity of DWT imposes a major challenge for the real-time use
of DWT-based image compression algorithms. In this paper, we propose a modified lifting scheme for
computing the approximation and detailed coefficients of DWT. The modified equations use, right shift
operators and 6-bit multipliers. The hierarchy levels in computation are reduced to one thereby minimizing the
delay and increasing throughput. The design implemented on Virtex-5 FPGA operates at 180 MHz and
consumes less than 1W of power. The design occupies less than 1 of the LUT resources on FPGA. The
architecture developed is suitable for real-time image processing on FPGA platform.
-Image compression is one of the prominent topics in image processing that plays a very important role in
reducing image size for real-time transmission and storage. Many of the standards recommend the use of DWT
for image compression. The computational complexity of DWT imposes a major challenge for the real-time use
of DWT-based image compression algorithms. In this paper, we propose a modified lifting scheme for
computing the approximation and detailed coefficients of DWT. The modified equations use, right shift
operators and 6-bit multipliers. The hierarchy levels in computation are reduced to one thereby minimizing the
delay and increasing throughput. The design implemented on Virtex-5 FPGA operates at 180 MHz and
consumes less than 1W of power. The design occupies less than 1 of the LUT resources on FPGA. The
architecture developed is suitable for real-time image processing on FPGA platform.
Platform: |
Size: 1474560 |
Author: jeason |
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