Many important eye diseases as well as systemic diseases manifest themselves in the
retina. While a number of other anatomical structures contribute to the process of vision, this …

Stimulated Raman scattering (SRS) microscopy is a label-free quantitative chemical imaging
technique that has demonstrated great utility in biomedical imaging applications ranging …

Optical coherence tomography (OCT) is an emerging imaging technique for diagnosing
ophthalmic diseases and the visual analysis of retinal structure changes, such as exudates …

Optical coherence tomography (OCT) is becoming one of the most important modalities for
the noninvasive assessment of retinal eye diseases. As the number of acquired OCT …

We demonstrate the usefulness of utilizing a segmentation step for improving the
performance of sparsity based image reconstruction algorithms. In specific, we will focus on …

Speckle pattern, which is inherent in coherence imaging, influences significantly axial and
transversal resolution of Optical Coherence Tomography (OCT) instruments. The well known …

We introduce a novel speckle noise reduction algorithm for OCT images. Contrary to present
approaches, the algorithm does not rely on simple averaging of multiple image frames or …

Deep learning for image denoising has recently attracted considerable attentions due to its
excellent performance. Since most of current deep learning-based denoising models require …

In this paper, we discuss about applications of different methods for decomposing a signal
over elementary waveforms chosen in a family called a dictionary (atomic representations) …

In this paper, we apply image decomposition for image denoising by considering the
speckle noise in the (OCT) image as texture or oscillatory patterns. A novel second order …