Self-learning based image decomposition for blind periodic noise estimation: a dual-domain optimization approach

Author:

Alibabaie Najmeh,Latif Ali Mohammad

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Artificial Intelligence,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing,Software

Reference43 articles.

1. Aizenberg, I., & Butakoff, C. (2002). Frequency domain median like filter for periodic and quasi-periodic noise removal. SPIE Proceeding, 4667, 181–191. https://doi.org/10.1117/12.467980.

2. Aizenberg, I., & Butakoff, C. (2008). A windowed Gaussian notch filter for quasi-periodic noise removal. Image and Vision Computing, 26(10), 1347–1353. https://doi.org/10.1016/j.imavis.2007.08.011.

3. Aizenberg, I., Butakoff, C., Astola, J., & Egiazarian, K. (2002). Nonlinear frequency domain filter for quasi periodic noise removal. International TICSP workshop on spectral methods and multirate signal processing (pp. 147–153). France: Toulouse.

4. Alibabaie, N., Ghasemzadeh, M., & Meinel, C. (2017). A variant of genetic algorithm for non-homogeneous population. ITM Web of Conferences, 9(02001), 1–8. https://doi.org/10.1051/itmconf/20170902001.

5. Ata, M. M., El-Darieby, M., Abdelnabi, M., & Napoleon, S. (2019). Proposed enhancement for vehicle tracking in traffic videos based computer vision techniques. International Journal of Advanced Intelligence Paradigms (in press).

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