Paper
31 January 2013 A method of constructing motion-blurred image based on weighted accumulation of subimages
Yanqiao Zhao, Jian Liu, Jiubin Tan, He Zhang
Author Affiliations +
Proceedings Volume 8759, Eighth International Symposium on Precision Engineering Measurement and Instrumentation; 87593G (2013) https://doi.org/10.1117/12.2014787
Event: International Symposium on Precision Engineering Measurement and Instrumentation 2012, 2012, Chengdu, China
Abstract
A new approach of degrading image is presented. This method has four steps: obtain the number of the subimages first, and then these subimages are constructed, the third step is calculating the weight of each subimage according to its velocity, at last motion-blurred image is constructed by weighted accumulating the subimages. We compared the effects between the method of this article and existing algorithms by using accelerated motion-blurred images and retrace motion-blurred images separately. The maximum absolute differences between the accelerated motion-blurred images degraded by the method of this article and the existing algorithms which are discrete convolution (DC) and discrete Fourier transform (DFT) are 2.5580×10-13 and 3.4106×10-13 separately. And the maximum absolute differences are 2.5580×10-13 and 3.4106×10-13 separately for retrace motion-blurred images. It can be proved that the performances of different methods are the same. The time consumed by degrading images of different forms of motion is less than half a second, close to the time consumed by DFT, but hundreds of seconds shorter than DC. What’s more, the process of the method of this article strongly resembles the real imaging process, so it can be comprehended more easily than the existing algorithms.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yanqiao Zhao, Jian Liu, Jiubin Tan, and He Zhang "A method of constructing motion-blurred image based on weighted accumulation of subimages", Proc. SPIE 8759, Eighth International Symposium on Precision Engineering Measurement and Instrumentation, 87593G (31 January 2013); https://doi.org/10.1117/12.2014787
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Cited by 2 patents.
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KEYWORDS
Image processing

Convolution

Electronic filtering

Fourier transforms

Image sensors

Instrumentation engineering

Robotic systems

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