Effective Debluring Algorithm Using Inertial Motion Sensor

Authors

  • Yashwant Deshmukh  Department of Electronic and Telecommunication TSSM's BhivarabaiSawant College of Engg. And Research, Pune, Maharashtra, India
  • Prof. B H Pansambhal  Department of Electronic and Telecommunication TSSM's BhivarabaiSawant College of Engg. And Research, Pune, Maharashtra, India

Keywords:

LEN, THETA, PSF, Winner, De-blu, Blind-Deconvolution.

Abstract

A blurred image can be recognized as a convolution function of a sharp image and a blur kernel or PSF. So in order to recover the sharp image it is needed to know the PSF function which causes the motion blur. The unknown blur kernel estimation is called as the Blind deconvolution. Most of the deblurring techniques make use of these concepts. Few methods such as, Winner Deblur and Luci-Rechard uses sensors to calculate the PSF. In this paper some reading of inertial motion sensor is considered with the value of LEN and Theta to calculate the PSF. At the same time motion blurred images dataset is considered for applying the Blind De-convolution, Winner for the results to calculate best suitable parameters of good quality image output.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-02-28

Issue

Volume 3, Issue 2, January-February-2018

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Yashwant Deshmukh, Prof. B H Pansambhal, " Effective Debluring Algorithm Using Inertial Motion Sensor " International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 2, pp.227-231, January-February-2018.