An Edge Based Technique for Spatially Varying Defocus Blur Estimation of Image using Gradient Magnitudes - Simulation & Result

Authors

  • Ahmed Naqvi SF Dept. of Electronics & Communication Engineering, SRK University, Bhopal (MP) India
  • Niwaria K Dept. of Electronics & Communication Engineering, SRK University, Bhopal (MP) India
  • Chourasia B Dept. of Electronics & Communication Engineering, SRK University, Bhopal (MP) India

DOI:

https://doi.org/10.26438/ijcse/v7i10.8189

Keywords:

Edge based technique, Blur estimation, Image processing, Gradient magnitude

Abstract

The article presents a new edge based technique for spatially varying defocus blur estimation with the use of a single image based on reblurred gradient magnitudes. Objects that do not lie at the focal length of a digital camera generate defocused regions in the captured image. Also inherent dynamic features of the nature gives rise to blur in captured image. Whenever there is relative motion between the image to be captured and the imaging system, the image captured at that movement is also suffered by blur. A locally adaptive scheme for obtaining the reblur scales, a connected edge filter for regularizing sparse map, and usingfast guided filter for blur map propagation is recommonded and simulated on Matlab. Results are compared and find to be performing better in comparison with the older adopted methods.

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Published

2019-10-31
CITATION
DOI: 10.26438/ijcse/v7i10.8189
Published: 2019-10-31

How to Cite

[1]
S. F. Ahmed Naqvi, K. Niwaria, and B. Chourasia, “An Edge Based Technique for Spatially Varying Defocus Blur Estimation of Image using Gradient Magnitudes - Simulation & Result”, Int. J. Comp. Sci. Eng., vol. 7, no. 10, pp. 81–89, Oct. 2019.

Issue

Vol. 7 No. 10 (2019): IJCSE October Edition

Section

Research Article

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