A new approach is presented in this paper to use Higher Order Statistics (HOS) to deconvolve the effects of blurring in ultrasonic C-Scans. The quantization effects of the mechanical scan-grid and due to the conversion of 1-D A-scan into one pixel on the image cause blurring. The proposed approach is completely blind to the source or the type of distortion and the formulation is purely two-dime...

In this paper we introduce and analyze a set of regularization expressions based on self-similarity properties of images in order to address the classical inverse problem of image denoising and the ill-posed inverse problem of single-frame image zooming. The regularization expressions introduced are constructed using either the fractal image transform or the newly developed “Nonlocal-means (NL-...

Two different approaches in the inverse halftoning of error-diffused images are considered. The first approach uses linear filtering and statistical smoothing that reconstructs a gray-scale image from a given error-diffused image. The second approach can be viewed as a projection operation, where one assumes the error diffusion kernel is known, and finds a gray-scale image that will be halftone...

A research topic that has been receiving much interest recently is the reconstruction of a high resolution image from an ensemble of low resolution images of the same scene. Such image fusion implies that each low resolution image individually does not contain all of the available information, and therefore must be subject to aliasing. The reconstruction process involves resampling the ensemble...

Abstract Confocal laser-scanning microscopy (CLSM) is one of the most popular optical architectures for fluorescence imaging. In CLSM, a focused laser beam excites emission from specific specimen position. Some actuators scan probed region across sample and photodetector collects single intensity value each point, building two-dimensional image pixel-by-pixel. Recently, new fast single-photon a...