High Resolution images can be reconstructed from several blurred, noisy and aliased low resolution images using a computational process know as super resolution reconstruction. Super resolution reconstruction is the process of combining several low resolution images into a single higher resolution image. In this paper we concentrate on a special case of super resolution problem where the wrap i...

Background and Aim: DTI-based tractography could help us to visualize the spatial relation of fiber tracts to brain lesions. Several factors may interfere with the procedure of diffusion-based tractography, especially in brain tumors. The aim of the current study is to discuss several solutions to improve the procedure of fiber reconstruction adjacent or inside brain lesions. Illustrative cases...

Purpose: Magnetic resonance spectroscopic imaging (MRSI) provides complementary information to conventional magnetic resonance imaging. Acquiring high resolution MRSI is time consuming and requires complex reconstruction techniques. Methods: In this paper, a patch-based super-resolution method is presented to increase the spatial resolution of metabolite maps computed from MRSI. The proposed me...

The derivation of 3D metric information from spherical images for interactive exploration and realistic 3D modeling is receiving great attention due to their high-resolution content, large field-of-view, lowcost, easiness, rapidity and completeness. We present a methodology for accurate 3D reconstruction from spherical (panoramic) images acquired by mosaicking separated frame images captured wi...

A wide-spread use of 3D models in cultural heritage application requires low cost equipment and simple modeling procedures. In this context, passive 3D reconstruction methods allow to build 3D models from a set of calibrated cameras, without the need of expensive machinery. Unfortunately the surfaces characteristics often lead to bad quality reconstructions. Recent efforts attempt to combine to...

Interpolation methods that rely on partial differential equations can reconstruct images with high quality from a few prescribed pixels. A whole class of compression codecs exploits this concept to store images in terms of a sparse grey value representation. Recently, Brinkmann et al. (2015) have suggested an alternative approach: They propose to store gradient data instead of grey values. Howe...

Fluorescent confocal laser scanning microscopy allows an improved imaging of microscopic objects in three dimensions. However, the resolution along the axial direction is three times worse than the resolution in lateral directions. A method to overcome this axial limitation is tilting the object under the microscope, in a way that the direction of the optical axis points into different directio...

High Resolution images can be reconstructed from several blurred, noisy and aliased low resolution images using a computational process know as super resolution reconstruction. Multi-frame super resolution reconstruction is the process of combining several low resolution images into a single higher resolution image. Super resolution reconstruction consists of registration, restoration and inter...

The size of infrared camera systems can be reduced by collecting low-resolution images in parallel with multiple narrow-aperture lenses rather than collecting a single high-resolution image with one wide-aperture lens. We describe an infrared imaging system that uses a three-by-three lenslet array with an optical system length of 2.3 mm and achieves Rayleigh criteria resolution comparable with ...