3-D Adaptive Sparsity Based Image Compression With Applications to Optical Coherence Tomography.

Published

Journal Article

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.

Full Text

Duke Authors

Cited Authors

  • Fang, L; Li, S; Kang, X; Izatt, JA; Farsiu, S

Published Date

  • June 2015

Published In

Volume / Issue

  • 34 / 6

Start / End Page

  • 1306 - 1320

PubMed ID

  • 25561591

Pubmed Central ID

  • 25561591

Electronic International Standard Serial Number (EISSN)

  • 1558-254X

International Standard Serial Number (ISSN)

  • 0278-0062

Digital Object Identifier (DOI)

  • 10.1109/TMI.2014.2387336

Language

  • eng