Design, simulation and optimal selection of cosine-linear frequency modulation waveform (CNLFM) based on correlated ambiguity function (AF) method for the purpose of Synthetic Aperture Radar (SAR) is done in this article. The selected optimum CNLFM waveform in contribution with other waveforms are applied directly into a SAR image formation algorithm (IFA) and their quality effects performance ...

This thesis uses an unsensitized emulsion and two chemically sensitized emulsions to investigate the effect of oxygen and water vapor on latent-image formation and stability. At exposure times that cause little or no low-intensity reciprocity failure, vacuum treatment of an emulsion can result in photographic speeds significantly lower than those found in a humidified environment. This is presu...

Nuclear medicine imaging systems rely on photon detection as the basis of image formation. One of the major sources of error in these imaging systems is Poisson noise. In this paper, we develop a novel multiscale image restoration procedure for photon imaging systems. It consists in separating in the wavelet-domain data points which belong to structures from those due to the noisy background. T...

A new technique of forming twoor three-dimensional images of a macroscopic sample by means of NMR is described. It is based on the application of a sequence of pulsed magnetic field gradients during a series of free induction decays. The image formation can be achieved by a straightforward twoor three-dimensional Fourier transformation. The method has the advantage of high sensitivity combined ...

In order to develop velocimetry methods for confined geometries, we propose to combine image registration and volumetric reconstruction from a monocular video of the draining of a Hele-Shaw cell filled with water. The cell’s thickness is small compared to the other two dimensions (e.g. 1 400 800 mm). We use a technique known as molecular tagging which consists in marking by photobleaching a pat...

In computer vision one is faced with the task of discovering the nature of objects that produced the light intensity distribution received by the camera. In order to solve this problem, one usually uses knowledge of the optics, the reflectance properties of surfaces, and of the structure of the objects one is expecting to find in a given scene. In many problems in image processing one is trying...

In problems such as image segmentation and recognition, the connectivity of target objects is a key feature. In the mathematical morphology framework, connected filters were derived from the classical connectivity theory but do not take into account the imperfections that can affect the image formation. The aim of this paper is twofold: (i) introduce a new class of connectivity for fuzzy object...

In an investigation of approaches to compact relay lenses for special effect photography, the potential of microlenslet arrays in image formation is investigated. In this paper, various arrangements of microlenslet arrays and associated baffles are considered and their role on image quality presented. Findings through software simulations clearly demonstrate the trade-offs between image quality...

This paper describes a novel method for quantitative interpretation of multispectral images. By constructing an optical model of a tissue and by modelling the image formation process we predict the spectral composition of light remitted from the tissue. The parameters characterising the tissue are varied to represent the entire range of tissue instances. The modelling of image formation is used...

Least Squares (LS) estimation is a classical problem, often arising in practice. When the dimension of the problem is large, the solution may be difficult to obtain, due to complexity reasons. A general way to reduce the complexity is that of breaking the problem in smaller sub-problems. Following this approach, in the paper we introduce an Alternating Least Squares (ALS) algorithm that finds t...