▪ Abstract Digital image reconstruction is a robust means by which the underlying images
hidden in blurry and noisy data can be revealed. The main challenge is sensitivity to …

Horizontal line arrays are often used in underwater environments to detect/separate a weak
signal and estimate its direction of arrival from many loud interfering sources and ambient …

Radar imaging is a subject of tremendous mathematical richness, with many interesting
applications and many challenging open problems that are of a mathematical nature. Yet the …

This paper presents an information-theoretic analysis of statistical dependencies between
image wavelet coefficients. The dependencies are measured using mutual information …

Abstract Under-Display Camera (UDC) has been widely exploited to help smartphones
realize full-screen displays. However, as the screen could inevitably affect the light …

In this paper, we examine whether or not information theory can be one of the theoretic
frameworks for visualization. We formulate concepts and measurements for qualifying visual …

A family of conditionally Gaussian signal models for synthetic aperture radar (SAR) imagery
is presented, extending a related class of models developed for high resolution radar range …

A Bayesian approach is presented for model-based classification of images with application
to synthetic-aperture radar. Posterior probabilities are computed for candidate hypotheses …

A family of alternating minimization algorithms for finding maximum-likelihood estimates of
attenuation functions in transmission X-ray tomography is described. The model from which …

Topical Review Page 1 Inverse Problems TOPICAL REVIEW Problems in synthetic-aperture
radar imaging To cite this article: Margaret Cheney and Brett Borden 2009 Inverse Problems …