In this paper, we address a super-resolution Reconstruction problem of generating a high-resolution image from low-resolution images. The proposed superresolution method consists of three steps: image registration, singular value decomposition (SVD)-based image fusion and interpolation is a part of beam surf algorithm. The contribution of this work is two-fold. First we customize an image regis...

Nonlinear image reconstruction based upon sparse representations of images has recently received widespread attention with the emerging framework of compressed sensing (CS). This theory indicates that, when feasible, judicious selection of the type of distortion induced by measurement systems may dramatically improve our ability to perform image reconstruction. However, applying compressed sens...

The use of paired, opposing position-sensitive phototube scintillation cameras (SCs) operating in coincidence for small animal imaging with positron emitters is currently under study. Because of the low sensitivity of the system even in 3D mode and the need to produce images with high resolution, it was postulated that a 3D expectation maximization (EM) reconstruction algorithm might be well su...

1. INTRODUCTION Single particle electron microscopy (EM) has become the most powerful technique in structural biology for studying large macromolecules and their assemblies. At near physiological conditions, the 3D structure of relevant biological complexes can be determined from sub-nanometer to even near atomic resolution (Frank, 2006). Using a small amount of purified sample, researchers pro...

Introduction: Measurement of the complex 3D radiation dose distribution created with advanced radiotherapy techniques such as IMRT and SRS became very important. Polymer gel dosimetry (PGD) is proposed method to recording this dose distribution. MRI, X-ray CT, ultrasound, spectrophotometry and optical CT scanners can be used for readout of Polymer gel dosimeters. Although MRI i...

Super-resolution techniques that process multiple images to achieve resolution enhancement for satellite images are very important. This work utilizes Vandewalle method to realize super-resolution for satellite images. Assuming the motions between images are all on the same plane, we estimate and stick images into the high resolution grid. Because of the huge size of satellite images, only part...

Super Resolution based Reconstruction of images produces a High Resolution (HR) image from multiple Low Resolution (LR) images by estimating the motion parameters and shifts in the LR images. The problem can be divided into two parts: an image registration part in which the motion parameters and shift between different frames of the same scene are estimated and the reconstruction part in which ...

In many image or video processing applications, it is often required to increase image resolution. This paper addresses a Super Resolution scheme that reconstructs high resolution images from non-uniformly distributed samples obtained from multiple available sub-pixel shifted low resolution images. In this work, the problem of reconstructing a signal from its non-uniform samples in shift-invari...