EFFICIENT MOTION DEBLURRING FOR INFORMATION RECOGNITION ON MOBILE DEVICES

被引：0

作者：

Brusius, Florian ^{[1
]}

Schwanecke, Ulrich ^{[1
]}

Barth, Peter ^{[1
]}

机构：

[1] Hsch RheinMain, Unter Eichen 5, D-65195 Wiesbaden, Germany

来源：

IMAGAPP & IVAPP 2011: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON IMAGING THEORY AND APPLICATIONS AND INTERNATIONAL CONFERENCE ON INFORMATION VISUALIZATION THEORY AND APPLICATIONS | 2011年

关键词：

Image processing; Blind deconvolution; Image restoration; Deblurring; Motion blur estimation; Barcodes; Mobile devices; Radon transform;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In this paper, a new method for the identification and removal of image artifacts caused by linear motion blur is presented. By transforming the image into the frequency domain and computing its logarithmic power spectrum, the algorithm identifies the parameters describing the camera motion that caused the blur. The spectrum is analysed using an adjusted version of the Radon transform and a straightforward method for detecting local minima. Out of the computed parameters, a blur kernel is formed, which is used to deconvolute the image. As a result, the algorithm is able to make previously unrecognisable features clearly legible again. The method is designed to work in resource-constrained environments, such as on mobile devices, where it can serve as a preprocessing stage for information recognition software that uses the camera as an additional input device.

引用

页码：7 / 18

页数：12

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