In this paper, a single-computed tomography (CT) image super-resolution (SR)
reconstruction scheme is proposed. This SR reconstruction scheme is based on sparse …

This paper presents a novel optical system for the realization of the Radon transform in a
single frame. The optical system is simple, fast and accurate and consists of a 4F system …

The generalized Hough transform is a well-established technique for detecting complex
shapes in images containing noisy or missing data. We present an efficient optical …

Super-resolution is an important goal for the diffraction-limited optical system. In this paper,
we present a novel technique that exceeds the limit of resolving power of the diffraction …

Based on the characteristic analysis of the traditional block-based compressed sensing
system, an improved compressed sensing theory model is proposed in this paper, and its …

A single exposure superresolution (SR) restoration algorithm for an optical sparse aperture
(OSA) imaging system based on random convolution is proposed. The low-resolution image …

The theory of compressive sensing (CS) has opened up new opportunities in the field of
imaging. However, its implementation in this field is often not straight-forward and the optical …

The theory of compressive sensing and sparse representations broke the traditional linkage
between the resolution of the optical signals and the bandwidth of the acquisition process …

An extended depth of field imaging system was developed for in-line inspection for the
semiconductor industry. The system produces a single, two-dimensional, in-focus image of …

Super-resolution hyperspectral imaging is a key technology for many applications,
especially in the fields of remote sensing, military, agriculture, and geological exploration …