title: 3-D Adaptive Sparsity Based Image Compression With Applications to Optical Coherence Tomography.
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.
authors.forename: Leyuan
authors.initials: L
authors.lastname: Fang
authors.forename: Shutao
authors.initials: S
authors.lastname: Li
authors.forename: Xudong
authors.initials: X
authors.lastname: Kang
authors.forename: Joseph A
authors.initials: JA
authors.lastname: Izatt
authors.forename: Sina
authors.initials: S
authors.lastname: Farsiu
mesh_terms: D000465:Algorithms; D000818:Animals; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008268:Macular Degeneration / Q000473:pathology; D051379:Mice; D012160:Retina / Q000473:pathology*; D041623:Tomography, Optical Coherence / Q000379:methods*