This paper presents a detailed investigation and comparative analysis of the two well-known classes of Super Resolution (SR) i.e. Reconstruction Based Super Resolution (RBSR) and the Example Based Super Resolution (EBSR), taking into account the seven variables: Resolution Factor, Aliasing, Stills, Motion, Compression, Noise and Detection scenario. The EBSR uses high and low frequency relations...

Operating at biologically benign conditions, multi-photon fluorescence imaging microscopy has benefitted immensely from recent developments in microscopic resolution enhancement. Fluorescence microscopy continues to be the best choice for experiments on live specimens, however, multi-photon fluorescence imaging often suffers from overlapping fluorescence of typical dyes used in microscopy, limi...

We present a definition and analysis of the concept of resolution and its enhancement in imaging based on statistical detection and estimation. We also present an overview of the problem of Super-resolution in imaging, which (similar to notions in MIMO communications) involves the reconstruction of high resolution images from a collection of ”diverse” views of the same scene captured either in ...

In this correspondence, an image resolution enhancement technique based on interpolation of the high frequency subband images obtained by discrete wavelet transform (DWT), stationary wavelet transform (SWT) and the input image has been proposed. The image quality has been enhanced by incorporating stationary wavelet transform (SWT). DWT decomposes an input image into four subbands. Out of these...

Advances in lithography have contributed significantly to the advancement of the integrated circuit technology. While nonoptical next-generation lithography (NGL) solutions are being developed, optical lithography continues to be the workhorse for high-throughput very-large-scale integrated (VLSI) lithography. Extending optical lithography to the resolution levels necessary to support today’s a...

Given a sequence of blurred low resolution images, the aim of this work is to produce a sequence of higher resolution and restored images. It is assumed that the point spread function of the given imaging process is a combination of a known blurring function and an estimated local motion function. The local motion estimation is obtained by the respective group delays of local adaptive filters. ...

Head Related Transfer Function (HRTF) libraries enable the generation of virtual acoustic sources in arbitrary spatial positions. In experiments with a large number of test subjects, general or non-personified HRTF libraries are used, measured with human-shaped dolls. The resolution of azimuth in the frontal area is much better than in lateral areas. To improve resolution in lateral areas, Prin...

In any image processing involving images having scale-dependent structure, a key challenge is the modeling of these multiscale characteristics. Because single Gauss-Markov models are effective at representing only single-scale phenomena, the classic Hidden Markov Model can not perform well in the processing of more complex images, particularly near-fractal images which frequently occur in scien...

who is the principal architect of the code, with significant contributions from Dirk Robinson, particularly on the motion estimation algorithms. This software package is available for licensing. Please contact Prof. Peyman Milanfar ([email protected]) if you wish to obtain this code for research or commercial purposes. Abstract This software suite is a Matlab-based package for resolution enh...