Tomographic blur identification using image edges

被引：4

作者：

Bones, PJ ^{[1
]}

Bretschneider, T ^{[1
]}

Forne, CJ ^{[1
]}

Millane, RP ^{[1
]}

McNeill, SJ ^{[1
]}

机构：

[1] Univ Canterbury, Dept Elect & Elect Engn, Christchurch 1, New Zealand

来源：

IMAGE RECONSTRUCTION FROM INCOMPLETE DATA | 2000年 / 4123卷

关键词：

blur identification; point spread function; step function; deconvolution; remote sensing;

D O I：

10.1117/12.409264

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A method for estimating the point spread function of a remotely sensed image is described. The technique developed is based on locating and measuring blurred linear features in the imagery and tomographically reconstructing the point spread function. Image features able to be modelled by a single step function or by a combination of two steps are located. For the latter cases a form of blind deconvolution is applied to extract the estimate of the line spread function (equivalent to the projection of the point spread function in the direction of the feature). The process is unsupervised and requires only that the image contains suitable linear features. Examples are given of the estimation of blur in satellite images.

引用

页码：133 / 141

页数：3

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