3-D adaptive sparsity based image compression with applications to optical coherence tomography

IEEE Transactions on Medical Imaging

Volumn 34, Issue 6, 2015, Pages 1306-1320

  Fang, Leyuan ^a   Li, Shutao ^a   Kang, Xudong ^a   Izatt, Joseph A ^b,c   Farsiu, Sina ^b,c  

^a HUNAN UNIVERSITY   (China)

^b Duke University   (United States)

^c DUKE UNIVERSITY MEDICAL CENTER   (United States)

Author keywords

Compression; denoising; image reconstruction; ophthalmic imaging; optical coherence tomography; retina; sparse representation; tomography

Indexed keywords

ADAPTIVE OPTICS; COMPACTION; IMAGE DENOISING; IMAGE RECONSTRUCTION; TOMOGRAPHY;

ADAPTIVE SPARSITIES; COMPRESSION METHODS; COMPRESSION PERFORMANCE; DE-NOISING; OPHTHALMIC IMAGING; RETINA; SPARSE REPRESENTATION; TOMOGRAPHIC IMAGES;

OPTICAL TOMOGRAPHY;

ARTICLE; B SCAN; CONTROLLED STUDY; DIGITAL COMPRESSION; HUMAN; HUMAN EXPERIMENT; IMAGE PROCESSING; IMAGE QUALITY; IMAGE RECONSTRUCTION; LEARNING ALGORITHM; MEDICAL INFORMATICS; NORMAL HUMAN; OPTICAL COHERENCE TOMOGRAPHY; RETINA IMAGE; THREE DIMENSIONAL ADAPTIVE SPARSE REPRESENTATION BASED COMPRESSION; ALGORITHM; ANIMAL; MACULAR DEGENERATION; MOUSE; PATHOLOGY; PROCEDURES; RETINA; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ANIMALS; HUMANS; IMAGING, THREE-DIMENSIONAL; MACULAR DEGENERATION; MICE; RETINA; TOMOGRAPHY, OPTICAL COHERENCE;

EID: 84930946316     PISSN: 02780062     EISSN: 1558254X     Source Type: Journal    
DOI: 10.1109/TMI.2014.2387336     Document Type: Article

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