GPU CUDA accelerated Image Inpainting using Fourth Order PDE equation

Image Inpainting Using a Fourth-Order Total Variation Flow

We introduce a fourth-order total variation flow for image inpainting proposed in [5]. The well-posedness of this new inpainting model is discussed and its efficient numerical realization via an unconditionally stable solver developed in [15] is presented.

GPU-Accelerated Geodesic Fiber Tracking for HARDI Data using CUDA

Disclaimer This document contains a student thesis (bachelor's or master's), as authored by a student at Eindhoven University of Technology. Student theses are made available in the TU/e repository upon obtaining the required degree. The grade received is not published on the document as presented in the repository. The required complexity or quality of research of student theses may vary by pr...

GPU-Accelerated SART Reconstruction Using the CUDA Programming Environment

The Common Unified Device Architecture (CUDA) introduced in 2007 by NVIDIA is a recent programming model making use of the unified shader design of the most recent graphics processing units (GPUs). The programming interface allows algorithm implementation using standard C language along with a few extensions without any knowledge about graphics programming using OpenGL, DirectX, and shading lan...

Compound PDE-Based Image Restoration Algorithm Using Second-Order and Fourth-Order Diffusions

Image Inpainting Using a TV-Stokes Equation

Based on some geometrical considerations, we propose a two-step method to do digital image inpainting. In the first step, we try to propagate the isophote directions into the inpainting domain. An energy minimization model combined with the zero divergence condition is used to get a nonlinear Stokes equation. Once the isophote directions are constructed, an image is restored to fit the construc...