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Volumn , Issue , 2009, Pages 829-832
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Reconstructing FT-IR spectroscopic imaging data with a sparse prior
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Author keywords
FT IR; K SVD; l1 minimization
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Indexed keywords
IMAGE PROCESSING;
IMAGING SYSTEMS;
INTERFEROMETRY;
INVERSE PROBLEMS;
OPTIMIZATION;
SIGNAL TO NOISE RATIO;
SINGULAR VALUE DECOMPOSITION;
SPIN POLARIZATION;
ACQUISITION TIME;
COMPRESSED SENSING;
DATA SIZE;
DOWNSAMPLING;
FOURIER TRANSFORM INFRARED;
FT-IR ABSORBANCE;
FT-IR SPECTROSCOPIC IMAGING;
INTERFEROGRAMS;
LOW RESOLUTION;
LOW-PASS FILTERING;
MEASURED SIGNALS;
MEASUREMENT PROCESS;
PEAK SIGNAL-TO-NOISE RATIO;
PRIOR KNOWLEDGE;
PROSTATE CANCERS;
SPARSE PRIOR;
SPARSE REPRESENTATION;
SPECTRAL DOMAINS;
SPECTROSCOPIC IMAGING;
STORAGE REQUIREMENTS;
TISSUE CLASSIFICATION;
KNOWLEDGE REPRESENTATION;
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EID: 77951950767
PISSN: 15224880
EISSN: None
Source Type: Conference Proceeding
DOI: 10.1109/ICIP.2009.5414384 Document Type: Conference Paper |
Times cited : (4)
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References (10)
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