This chapter examines the field of super-resolution with application to text analysis. While the area of super-resolution has been dealt with in fair depth in recent years, it is only just becoming useful as an applicable stage in improving text images, particularly for further processing, transmission, and understanding on mobile and handheld devices. After dealing with the general concepts of...

In the framework of the paper an improved method for image resolution enhancement is introduced. The enhancement is performed through another representation domain, where the image function is expressed with the help of polylinear functions on higher order singular value decomposition (HOSVD) basis. The paper gives a detailed description on how to determine the polylinear functions correspondin...

Satellite images are being used in many applications like Meteorology, Agriculture, Geology, Forestry, Landscape, Biodiversity, Planning, Education, Regional, Seismology and oceanography. The Enhanced satellite images make diagnostic details more obvious. The Image Enhancement is the main technique for improving the resolution and visual appearance of the image. One of the major issues in Image...

BACKGROUND AND PURPOSE Prospective differentiation between reversible cerebral vasoconstriction syndrome and central nervous system vasculitis can be challenging. We hypothesized that high-resolution vessel wall MRI would demonstrate arterial wall enhancement in central nervous system vasculitis but not in reversible cerebral vasoconstriction syndrome. METHODS We identified all patients with ...

The main objective of super-resolution (SR) imaging is to reconstruct a high-resolution (HR) image of a scene from one or more low-resolution images of the scene. In resolution enhancement of images, the main loss is on the high frequency components (edges) of the image. This is due to the smoothing caused by interpolation. Hence in order to enhance the quality of the super resolved image, pres...

We present a hierarchical neurodynamical system for object recognition based on attentional control of the spatial resolution with which an object is analyzed during an iterative hypothesis testing cycle. Psychophysical evidence strongly suggests that attentional processing results in the enhancement of the spatial resolution in the input region corresponding to the focus of attention. We adopt...

In the framework of the paper an improved method for image resolution enhancement is introduced. The enhancement is performed through another representation domain, where the image function is expressed with the help of polylinear functions on higher order singular value decomposition (HOSVD) basis. The paper gives a detailed description on how to determine the polylinear functions correspondin...

Image Processing is a structure of Signal Processing for which the input is the image and the output is also an image or parameter of the image. Image Resolution has been frequently referred as an important aspect of an image. In Image Resolution Enhancement, images are being processed in order to obtain more enhanced resolution. To generate highly resoluted image for a low resoluted input imag...

The field of biomedical image analysis is extremely broad and resolution enhancement is a fundamental aspect of virtually every implementation of an image analysis and visualization solution. Enhancement is a system component of all medical imaging modalities and a basic part of many diagnostic applications. Resolution enhancement can significantly aid diagnosis by highlighting regions and acce...

OBJECTIVE We aimed to evaluate the use of dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) at 3.0 T for differentiating the benign from malignant soft tissue tumors. Also we aimed to assess whether the shorter length of DCE-MRI protocols are adequate, and to evaluate the effect of temporal resolution. MATERIALS AND METHODS Dynamic contrast-enhanced magnetic resonance imaging, at...