A Hybrid Method for the Removal of RVIN Using Self Organizing Migration with Adaptive Dual Threshold Median Filter-Reference-Cited by-同舟云学术

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A Hybrid Method for the Removal of RVIN Using Self Organizing Migration with Adaptive Dual Threshold Median Filter

Published:2023-02-27 Issue:1 Volume:24 Page:
ISSN:1557-2072
Container-title:Sensing and Imaging
language:en
Short-container-title:Sens Imaging

Author:

Kumar Sandeep^ORCID,Raja Rohit,Mahmood Md Rashid,Choudhary Shilpa

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Instrumentation

Link

https://link.springer.com/content/pdf/10.1007/s11220-023-00414-9.pdf

Reference43 articles.

1. Parmar, J. M., & Patil, S. A. (2013). Performance evaluation and comparison of modified denoising method and the local adaptive wavelet image denoising method. In 2013 International Conference on Intelligent Systems and Signal Processing (ISSP) (pp. 101–105). IEEE.

2. Zhang, X. (2016). Image denoising using local Wiener filter and its method noise. Optik, 127, 6821–6828.

3. Kim, B. S., Gil, M. S., Choi, M. J., & Moon, Y. S. (2015). Partial denoising boundary image matching using time-series matching techniques. In 2015 International Conference on Big Data and Smart Computing (BIGCOMP) (pp. 136–141). IEEE.

4. Liu, J., Wang, Y., Su, K., & He, W. (2016). Image denoising with multidirectional shrinkage in directionlet domain. Signal Processing, 125, 64–78.

5. Thilagavathi, M., & Deepa, P. (2013). An efficient dictionary learning algorithm for 3d Medical Image Denoising based on Sadct. In 2013 International Conference on Information Communication and Embedded Systems (ICICES) (pp. 442–447). IEEE.

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