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 …

阵列处理和数据分析的一个典型问题是从混合的观测数据向量中恢复不可观测的各个源信号.
盲信号分离是解决这一问题的一门新技术, 近几年吸引了信号处理学界和神经网络学界众多学者 …

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 …