Single-shot coded-aperture optical imaging physically captures a code-aperture-modulated
optical signal in one exposure and then recovers the scene via computational image …

In this paper, a recursive filtering problem is analyzed for nonlinear systems with sensor
saturation under duty cycle scheduling (DCS). The sensor saturation is taken into account to …

The goal of image restoration is to reconstruct the original scene from a degraded
observation. This recovery process is critical to many image processing applications …

In functional linear regression, the slope “parameter” is a function. Therefore, in a
nonparametric context, it is determined by an infinite number of unknowns. Its estimation …

In a conventional single-exposure photograph, moving objects or moving cameras cause
motion blur. The exposure time defines a temporal box filter that smears the moving object …

Blind image deconvolution is constantly receiving increasing attention from the academic as
well the industrial world due to both its theoretical and practical implications. The field of …

In this paper, we propose a partially-blurred-image classification and analysis framework for
automatically detecting images containing blurred regions and recognizing the blur types for …

This paper describes the results of an ultra-wideband (UWB) propagation study in which
arrays of propagation measurements were made. After a description of the propagation …

Deconvolution problems occur in many fields of nonparametric statistics, for example,
density estimation based on contaminated data, nonparametric regression with errors-in …

One of the key problems of restoring a degraded image from motion blur is the estimation of
the unknown shift-invariant linear blur filter. Several algorithms have been proposed using …