Dr. Yanqiao Zhao Profile

Dr. Yanqiao Zhao

at Harbin Institute of Technology

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Proceedings Article | 31 January 2013 Paper

A method of constructing motion-blurred image based on weighted accumulation of subimages

Yanqiao Zhao, Jian Liu, Jiubin Tan, He Zhang

Proceedings Volume 8759, 87593G (2013) https://doi.org/10.1117/12.2014787

KEYWORDS: Image processing, Instrumentation engineering, Convolution, Fourier transforms, Robotic systems, Electronic filtering, Image sensors, Optoelectronics, Airborne remote sensing, Imaging systems

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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.

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