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Wavelets in compressive sensing-history History: PHD thesis Theory 陶哲轩, Emmanuel Candes, Donoho L1-minimization
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Wavelets in compressive sensing
天津大学精仪学院闫超 1014202037
Wavelets in compressive sensing-introduction
Compressive sensing (CS), compressived sensing or compressived sample
Compressed sensing is a mathematical tool that creates hi-res data sets from lo-res samples. It can be used to resurrect old musical recordings, find enemy radio signals, and generate MRIs much more quickly.
Wavelets in compressive sensing-history
History:Embryo-@2000-A PHD thesisTheory improvement-@2004- 陶哲轩 , Emmanuel Candes, Donoho
L1-minimization
Wavelets in compressive sensing-application
MRI image
Wavelets in compressive sensing-experiments
Compressive sensing of optical imaging
@2008-IEEE SIGNAL PROCESSING MAGAZINE-Single-pixel imaging via compressive sampling
Wavelets in compressive sensing-experiments
Compressive sensing of optical imaging
@2008-IEEE SIGNAL PROCESSING MAGAZINE-Single-pixel imaging via compressive sampling
Wavelets in compressive sensing-experiments
Compressive sensing of optical imaging
@2012- 光学 精密工程 - 应用压缩传感理论的单像素相机成像系统
Wavelets in compressive sensing-experiments
Compressive sensing of terahertz imaging
@2008-APL-A single-pixel terahertz imaging system based on compressed sensing
32*32 30% 60%
Wavelets in compressive sensing-experiments
Compressive sensing of terahertz imaging
@2011- J Infrared Milli Terahz Waves -A Fast Spatial-domain Terahertz Imaging Using Block-based Compressed Sensing
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Wavelets in compressive sensing-experiments
Compressive sensing of terahertz imaging
@2008-OL-Terahertz imaging with compressed sensing and phase retrieval
Wavelets in compressive sensing-mathematica
Theory
sparse: 1. DCT (Discrete cosine transform) 2. WT (Wavelet transform)
Wavelets in compressive sensing-simulation
DCT: 30.21739s 21.75909dB
WT: 9.71886s 38.97849dB
DCT: 81.32332s 22.74607dB
WT: 64.06961s 25.94528dB
Wavelets in compressive sensing-simulation
H1-PSNR-DCT vs WT H1-elapsed time-DCT vs WT
Lena-PSNR-DCT vs WT Lena-elapsed time-DCT vs WT
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Wavelets in compressive sensing-simulation
db8: 19.23621s 24.7816dB
sym8: 18.66266s 25.8342dB
coif4: 18.63087s 16.1393dB
bior4.4: 19.37384s 22.4711dB
rbior4.4: 19.45398s 19.9363dB
Wavelets in compressive sensing-simulation
db4: 19.24032s 24.9472dB
db8: 19.23621s 24.7816dB
sym4: 18.93414s 25.7825dB
sym8: 18.66266s 25.8342dB
Thank you