Retinal imaging technology is rapidly advancing and can provide ever-increasing amounts
of information about the structure, function and molecular composition of retinal tissue in …

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) …

Non-local means (NLM) filter is one of the state-of-the-art denoising filters. It exploits the
presence of similar features in an image and averages those similar features to remove …

Image modeling can be concerned as a basic core of many medical image
analysis/processing systems. Indeed, proposed model for a medical image defines the …

A robust model for simulating speckle-pattern evolution in optical coherence tomography
(OCT) depending on the OCT system parameters and tissue deformation is reported. The …

In this work, a non-local weighted group low-rank representation (WGLRR) model is
proposed for speckle noise reduction in optical coherence tomography (OCT) images. It is …

Optical Coherence Tomography (OCT) is an emerging technique in the field of biomedical
imaging, with applications in ophthalmology, dermatology, coronary imaging etc. Due to the …

The process of interpretation of high-speed optical coherence tomography (OCT) images is
restricted due to the large speckle noise. To address this problem, this paper proposes a …

We demonstrate the power of the Gaussianization transform (GT) for modeling image
content by applying GT for optical coherence tomography (OCT) denoising. The proposed …

Images reconstructed by an existing image reconstruction algorithm for electrical
capacitance tomography (ECT) are usually blurred or corrupted due to data noise. To …