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3-D Adaptive Sparsity Based Image Compression With Applications to Optical Coherence Tomography
- Source :
- IEEE transactions on medical imaging. 34(6)
- Publication Year :
- 2015
-
Abstract
- We present a novel general-purpose compression method for tomographic images, termed 3D adaptive sparse representation based compression (3D-ASRC). In this paper, we focus on applications of 3D-ASRC for the compression of ophthalmic 3D optical coherence tomography (OCT) images. The 3D-ASRC algorithm exploits correlations among adjacent OCT images to improve compression performance, yet is sensitive to preserving their differences. Due to the inherent denoising mechanism of the sparsity based 3D-ASRC, the quality of the compressed images are often better than the raw images they are based on. Experiments on clinical-grade retinal OCT images demonstrate the superiority of the proposed 3D-ASRC over other well-known compression methods.
- Subjects :
- Texture compression
Retina
Article
Macular Degeneration
Mice
Imaging, Three-Dimensional
Optical coherence tomography
Compression (functional analysis)
medicine
Animals
Humans
Computer vision
Electrical and Electronic Engineering
Transform coding
Mathematics
Radiological and Ultrasound Technology
medicine.diagnostic_test
business.industry
Sparse approximation
Computer Science Applications
Tomography
Artificial intelligence
Focus (optics)
business
Software
Algorithms
Tomography, Optical Coherence
Image compression
Subjects
Details
- ISSN :
- 1558254X
- Volume :
- 34
- Issue :
- 6
- Database :
- OpenAIRE
- Journal :
- IEEE transactions on medical imaging
- Accession number :
- edsair.doi.dedup.....9c9138b9d6f8a3f9de0decd8e092348e