Search Results for author: Ahmadreza Baghaie

Found 9 papers, 0 papers with code

Convolutional Neural Networks vs. Deformable Image Registration For Medical Slice Interpolation

no code implementations28 Apr 2020 Dilip Kumar Verma, Ahmadreza Baghaie

Here, a deformable registration-based method specifically designed for medical applications and a learning-based method, trained for video frame interpolation, are considered.

Image Registration Object +1

Robust Principal Component Analysis for Background Estimation of Particle Image Velocimetry Data

no code implementations16 Aug 2019 Ahmadreza Baghaie

Particle Image Velocimetry (PIV) data processing procedures are adversely affected by light reflections and backgrounds as well as defects in the models and sticky particles that occlude the inner walls of the boundaries.

Markov Random Field Model-Based Salt and Pepper Noise Removal

no code implementations20 Sep 2016 Ahmadreza Baghaie

After the formulation of the problem as an inpainting problem, graph cuts with $\alpha$-expansion moves are considered for minimization of the energy functional.

Salt-And-Pepper Noise Removal SSIM

Sparse And Low Rank Decomposition Based Batch Image Alignment for Speckle Reduction of retinal OCT Images

no code implementations14 Nov 2014 Ahmadreza Baghaie, Roshan M. D'souza, Zeyun Yu

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

Fast Mesh-Based Medical Image Registration

no code implementations8 Nov 2014 Ahmadreza Baghaie, Zeyun Yu, Roshan M. D'souza

The minimization process was achieved using a mesh based discretization of the distance measure and regularization term which resulted in a sparse system of linear equations, which due to the smaller size in comparison to the pixel-wise registration method, can be solved directly.

Image Registration Medical Image Registration

Structure Tensor Based Image Interpolation Method

no code implementations22 Feb 2014 Ahmadreza Baghaie, Zeyun Yu

Using an isotropic Gaussian filter, the structure tensor at each pixel of the input image is computed and the pixels are classified to three distinct classes; uniform region, corners and edges, according to the eigenvalues of the structure tensor.

Image Super-Resolution

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