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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM16504

Rain Streak Removal using Sparse Coding

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM16504

Volume:

6 |

10 |

Oct 2022

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

LD

L. Dillikumari

DMC

Dr. M. Chiranjeevi

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Abstract

Rain streak removal is a challenging and interesting task of image processing where the rain streaks will be removed from an image with rain streaks. In the literature, a large number of proposals are made where rain streak removal is considered as image enhancement or denoising. In this paper, a model of rain streak removal was proposed using sparse coding. First the regularization terms of the rain streak removal are defined. Then, a suitable dictionary of sub- dictionary with respect to specific patch of input rainy image are prepared. Finally, the Sparse code is applied on the patches of input image individually. The simulation results prove that the proposed technique performs very well even if the raindrop size is above a certain threshold.

KEYWORDS

deraining rain streak removal remote sensing sparse coding stripe removal traffic control.

Cite This Article

L. Dillikumari, Dr. M. Chiranjeevi, "Rain Streak Removal using Sparse Coding," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 10, Oct 2022.

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Publication Date

3/9/2022

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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