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Parameters Identification via Cepstrum Analysis for Mix Blurred Image

  • Mingzhu Shi
  • Xianwei Gong
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 463)

Abstract

Relative motion between the camera and objects leads to image blur and degrades video sequences. In order to achieve image restoration of the video intra-frames, the mixed blur that combines two common blur types, motion blur and defocus blur, is discussed in moving imaging. First, blur types are determined according to differences in spectrum features. Then, parameters of the point spread function (PSF) are identified quantitatively using the method of cepstrum analysis. Finally, experimental results show that the proposed cepstrum analysis for estimating the PSF can reach high accuracy.

Keywords

Motion blur Defocus blur Cepstrum analysis 

Notes

Acknowledgments

We thank the reviewer for helping us to improve this paper. This work is supported by National Science Foundation of China (Grant No. 61501328) and Doctoral Found of Tianjin Normal University (Grant No. 52XB1406).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Tianjin Key Laboratory of Wireless Mobile Communications and Power TransmissionTianjin Normal UniversityTianjinChina

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