In computer vision field, Image resolution enhancement has become the most current research area. Improving image resolution by applying costly hardware is expensive and time-consuming. In this paper we have discussed different methods to improve the resolution of the single image and we have given a comparison of different Super resolution algorithms for standard images based on PSNR and SSIM ...

Background: Radiation-sensitive polymer gels are among the most promising three-dimensional dose verification tools and tissue-like developed to date. Among the special features of this type of dosimeters, is be doped with other elements or chemicals which made them appropriate for investigating of dose enhancement with contrast agents, by high atomic number. Material and Methods: In this study...

Resolution enhancement is a basic and important technology in image/video processing. The goal of resolution enhancement is to reconstruct high-resolution image frames from the corresponding lowresolution versions. In this paper, an adaptive resolution enhancement scheme based on iterative backprojection was proposed. According to sub-pixel interpolation, additional information composed of seve...

Increasing design complexity in sub-90nm designs results in increased mask complexity and cost. Resolution enhancement techniques (RET) such as assist feature addition, phase shifting (attenuated PSM) and aggressive optical proximity correction (OPC) help in preserving feature fidelity in silicon but increase mask complexity and cost. Data volume increase with rise in mask complexity is becomin...

A data-driven approach to reconstruct high-resolution flow fields is presented. The method based on exploiting the recent advances of SRGANs (Super-Resolution Generative Adversarial Networks) enhance resolution Particle Image Velocimetry (PIV). proposed exploits availability incomplete projections using same set images processed by standard PIV. Such projection made available sparse particle-ba...