The DOI matches its Crossref record; 7 of the 8 references it cites were found in a registry or an index.
An Image Filtering Algorithm for Removing Mixed Noise
Open accessAbstract
In order to remove salt-and-pepper noise and Gaussian noise in image, a novel filtering algorithm is proposed in this paper. The novel algorithm can preserve image edge details as much as possible. Firstly, five-median-binary code (FMBC) is proposed and used to describe local edge type of image. Secondly, median filter algorithm is improved to remove salt-and-pepper noise by using FMBC. Then, local enhanced bilateral filter with FMBC and a new type of exponential weighting function is used to remove Gaussian noise. Simulation results show that the algorithm proposed in this paper is very effective not only in filtering mixed noise but also in preserving edge details.
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Optimized filters are effective not only in filtering mixed noise, but also in maintaining edge details.
“The optimized filters have been very effective not only in filtering mixed noise, but also in maintaining edge details.”
From Automated Visual Defect Classification for Flat Steel Surface: A Survey (2020) · cites this paper as [57]
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Cites
Adaptive Bilateral Filter for Sharpness Enhancement and Noise Removal
Zhang, B., & Allebach, J. P. (2008) · IEEE Transactions on Image Processing · doi:10.1109/tip.2008.919949 · Cited by 403
Switching Bilateral Filter With a Texture/Noise Detector for Universal Noise Removal
Lin, C.-H., Tsai, J.-S., & Chiu, C. (2010) · IEEE Transactions on Image Processing · doi:10.1109/tip.2010.2047906 · Cited by 156
Fabijańska, A., & Sankowski, D. (2011) · IET Image Processing · doi:10.1049/iet-ipr.2009.0178 · Cited by 84
Noise reduction and edge detection via kernel anisotropic diffusion
Yu, J., Wang, Y., & Shen, Y. (2008) · Pattern Recognition Letters · doi:10.1016/j.patrec.2008.03.002 · Cited by 72
Improved bilateral filter for suppressing mixed noise in color images
Jin, L., Xiong, C., & Liu, H. (2012) · Digital Signal Processing · doi:10.1016/j.dsp.2012.06.012 · Cited by 41
Spatially adaptive denoising algorithm for a single image corrupted by gaussian noise
Nguyen, T.-A., Song, W.-S., & Hong, M.-C. (2010) · IEEE Transactions on Consumer Electronics · doi:10.1109/tce.2010.5606304 · Cited by 36
An efficient edge-based bilateral filter for restoring real noisy image
Yu, H., Zhao, L., & Wang, H. (2011) · IEEE Transactions on Consumer Electronics · doi:10.1109/tce.2011.5955208 · Cited by 15
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1 of the 8 references couldn’t be matched to a known paper.
Research works printed but not linked: 5
- Y.Y. Zhou and Z.F. Ye: International Conference on Multimedia Technology (2011), p.4752.
- X.B. Li, D.S. Jiang and Z.L. Wang: Journal of University of Electronic Science and Technology of China Vol. 41 (2012), p.114 (In Chinese).
- Y.D. Ma, D.M. Lin, B.D. Zhang, Q. Liu and J.S. Gu: IEEE International Conference on Signal Processing and Communication (2007), p.1499.
- C. Tomasi and R. Manduchi: Sixth International Conference on Computer Vision (1998), p.839.
- A.H. Shabani, J.S. Zelek and D.A. Clausi: Ninth Conference on Computer and Robot Vision (2012), p.383.
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Sorted by citations
Automated Visual Defect Classification for Flat Steel Surface: A Survey
Luo, Q., Fang, X., Su, J., Zhou, J., Zhou, B., Yang, C., Liu, L., Gui, W., & Tian, L. (2020) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2020.3030167 · Cited by 148
An Edge Detection Method Based on Adaptive Differential Operator
Gong, R. F., & Chu, M. (2015) · Applied Mechanics and Materials · doi:10.4028/www.scientific.net/amm.713-715.415
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Metadata
- Authors
- Chu, M. X., Wang, A. N., & Gong, R. F.
- Affiliations
- Northeastern University
- Northeastern University (US)
- Venue
- Applied Mechanics and Materials
- Publisher
- Trans Tech Publications, Ltd.
- Published
- 2013-10-15
- Volume
- 433-435
- Pages
- 383-388
- ISSN
- 1660-9336 (ISSN-L)
- 1662-7482
- OpenAlex
- W2011956741
- Cited by
- 2
- References
- 8
- Citations by year
- 2020: 1 · 2015: 1
- FWCI
- 0.38
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Applied Mechanics and Materials (publishedVersion, cc-by)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image and Signal Denoising Methods
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image Enhancement Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Image Processing Techniques
- Keywords
- image filtering, mixed noise removal, salt and pepper noise, Gaussian noise, median filter, edge preservation, bilateral filter, exponential weighting function
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