CSLDS_Demo
所属分类：图形图像处理
开发工具：matlab
文件大小：9020KB
下载次数：8
上传日期：2013-10-29 11:10:43
上 传 者：
sjwlovekaka
说明： 对于动态场景的压缩感知，把场景模型转换为线性的来进行测量
(Compressed sensing for dynamic scenes, the scene is converted to a linear model to be measured)
文件列表:
CSLDS_Demo\cosamp\Cosamp_groupsparsity.m (2612, 2013-06-19)
CSLDS_Demo\cosamp\Cosamp_mean_cslds.m (3050, 2013-05-06)
CSLDS_Demo\demo.m (1364, 2013-06-19)
CSLDS_Demo\dyntex\64cae10\00000001.jpg (4446, 2010-03-24)
CSLDS_Demo\dyntex\64cae10\00000002.jpg (4736, 2010-03-24)
CSLDS_Demo\dyntex\64cae10\00000003.jpg (5150, 2010-03-24)
CSLDS_Demo\dyntex\64cae10\00000004.jpg (5274, 2010-03-24)
CSLDS_Demo\dyntex\64cae10\00000005.jpg (5406, 2010-03-24)
CSLDS_Demo\dyntex\64cae10\00000006.jpg (5430, 2010-03-24)
CSLDS_Demo\dyntex\64cae10\00000007.jpg (5507, 2010-03-24)
CSLDS_Demo\dyntex\64cae10\00000008.jpg (5536, 2010-03-24)
CSLDS_Demo\dyntex\64cae10\00000009.jpg (5550, 2010-03-24)
CSLDS_Demo\dyntex\64cae10\00000010.jpg (5554, 2010-03-24)
CSLDS_Demo\dyntex\64cae10\00000011.jpg (5559, 2010-03-24)
CSLDS_Demo\dyntex\64cae10\00000012.jpg (5573, 2010-03-24)
CSLDS_Demo\dyntex\64cae10\00000013.jpg (5590, 2010-03-24)
CSLDS_Demo\dyntex\64cae10\00000014.jpg (5592, 2010-03-24)
CSLDS_Demo\dyntex\64cae10\00000015.jpg (5599, 2010-03-24)
CSLDS_Demo\dyntex\64cae10\00000016.jpg (5648, 2010-03-24)
CSLDS_Demo\dyntex\64cae10\00000017.jpg (5682, 2010-03-24)
CSLDS_Demo\dyntex\64cae10\00000018.jpg (5621, 2010-03-24)
CSLDS_Demo\dyntex\64cae10\00000019.jpg (5594, 2010-03-24)
CSLDS_Demo\dyntex\64cae10\00000020.jpg (5574, 2010-03-24)
CSLDS_Demo\dyntex\64cae10\00000021.jpg (5551, 2010-03-24)
CSLDS_Demo\dyntex\64cae10\00000022.jpg (5589, 2010-03-24)
CSLDS_Demo\dyntex\64cae10\00000023.jpg (5613, 2010-03-24)
CSLDS_Demo\dyntex\64cae10\00000024.jpg (5585, 2010-03-24)
CSLDS_Demo\dyntex\64cae10\00000025.jpg (5574, 2010-03-24)
CSLDS_Demo\dyntex\64cae10\00000026.jpg (5552, 2010-03-24)
CSLDS_Demo\dyntex\64cae10\00000027.jpg (5553, 2010-03-24)
CSLDS_Demo\dyntex\64cae10\00000028.jpg (5483, 2010-03-24)
CSLDS_Demo\dyntex\64cae10\00000029.jpg (5535, 2010-03-24)
CSLDS_Demo\dyntex\64cae10\00000030.jpg (5547, 2010-03-24)
CSLDS_Demo\dyntex\64cae10\00000031.jpg (5578, 2010-03-24)
CSLDS_Demo\dyntex\64cae10\00000032.jpg (5588, 2010-03-24)
CSLDS_Demo\dyntex\64cae10\00000033.jpg (5564, 2010-03-24)
CSLDS_Demo\dyntex\64cae10\00000034.jpg (5568, 2010-03-24)
CSLDS_Demo\dyntex\64cae10\00000035.jpg (5571, 2010-03-24)
CSLDS_Demo\dyntex\64cae10\00000036.jpg (5633, 2010-03-24)
CSLDS_Demo\dyntex\64cae10\00000037.jpg (5622, 2010-03-24)
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******* Run demo.m
It loads a dynamic texture of a candle and attempts to reconstruct it from noiselet measurements.
- Read paper at http://www.ece.rice.edu/~as48/research/cslds for additional details.
- You might need spgl1 package if you want to use the group-sparsity version of CSLDS.
Contents:
1) "cosamp" folder contains two codes for model-based CS.
- Cosamp_mean_cslds.m is the version for the mean+LDS model. This is the preferred implementation
- Cosamp_groupsparsity.m is the version with a group-sparsity term. The command spg_group in the toolbox SPGL1, in most cases, works better than this.
- Both codes can handle functional handles for the measurement operator.
2) run_cslds.m is the main workhorse script. demo.m gives an idea of how to use it.
3) "functions" folder
- Mainly a list of measurement and adjoint operators specific to the CSLDS framework. A lot different sparsifying basis are defined here.
4) "utility" folder
- Implementation of noiselets. Credits to Dr. Jason Laska (laska@rice.edu)
5) "dyntex"
has frames of a dynamic texture from the DynTex database
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