speckle is a granular disturbance in coherent images such as synthetic aperture radar (sar) images, modeled as a multiplicative noise. this noise degrades the sar image and complicates the image exploitation using automated image analysis techniques. several approaches have been developed to reduce the effect of speckle noise. recently, the application of compressed sensing (cs) is explored in ...

Throughout the past two decades, digital image processing has made its way into today’s technology and computer driven society. Its applications encompass a wide variety of specialized disciplines including medical imaging, machine vision, remote sensing, and astronomy – even influencing the computer user at home. Personal images obtained with digital cameras can easily be manipulated by a vari...

A new class of prior models is proposed for Bayesian image analysis. This class of priors provides an inherent geometrical flexibility, which is achieved through a transformation of the coordinate system of the prior distribution or model into that of the object under analysis. Thus prior morphological information about the object being reconstructed may be adapted to various degrees to match t...

A 3D reconstruction of retinal blood vessel trees using two views of fundus images is presented. The problem addresses: 1) The recovery of camera-eye model parameters by an self-calibration method. The camera parameters are found via the solution of simplified Kruppa equations, based on correspondences captured by hand from four different views. 2) The extraction of blood vessels and skeletons ...

Introduction: In Single Photon Emission Computed Tomography (SPECT), the projection data used for image reconstruction are distorted by several factors, including attenuation and scattering of gamma rays, collimator structure, data acquisition method, organ motion, and washout of radiopharmaceuticals. All these make reconstruction of a quantitative SPECT image very difficult. Simulation of a SP...

Although, most of the abnormal structures of human brain do not alter the shape of outer envelope of brain (surface), some abnormalities can deform the surface extensively. However, this may be a major problem in a surface-based registration technique, since two nearly identical surfaces are required for surface fitting process. A type of verification known as the circularity check for th...

In this contribution, we discuss a robust estimator based on image reconstruction technique for image filtering and simplification purposes. Instead of using the least-squares estimators that the measurement error is independently random and distributed as a normal distribution, a Lorentzian distribution based estimator is employed to fit a model function to the input image within the local win...

This paper provides an overview of a number of techniques developed within our group to perform 3D reconstruction and image segmentation based of the application of energy minimisation concepts. We begin with classical snake techniques and show how similar energy minimisation concepts can be extended to derive globally optimal segmentation methods. Then we discuss more recent work based on geod...