A robust anisotropic diffusion filter with low arithmetic complexity for images

Image smoothing with edge preservation in the presence of outliers is a challenge in image processing. Anisotropic diffusion smoothing is a well-established paradigm in digital image smoothing with edge preservation. Anisotropic diffusion smoothing filters are not robust to impulse noise. They emplo...

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Bibliographic Details
Published in:EURASIP journal on image and video processing 2019-02, Vol.2019 (1), p.1-14, Article 48
Main Authors: Nair, Resmi R., David, Ebenezer, Rajagopal, Sivakumar
Format: Article
Language:English
Subjects:
Algorithms
Anisotropic filters
Anisotropy
Arithmetic
Biometrics
Complexity
Computational complexity
Diffusion
Digital imaging
Engineering
Image denoising
Image processing
Image Processing and Computer Vision
Nonlinear filters
Pattern Recognition
Performance measurement
Preservation
Robustness
Signal,Image and Speech Processing
Smoothing
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Summary:Image smoothing with edge preservation in the presence of outliers is a challenge in image processing. Anisotropic diffusion smoothing is a well-established paradigm in digital image smoothing with edge preservation. Anisotropic diffusion smoothing filters are not robust to impulse noise. They employ two or more stages for robustness in the presence of outliers, and, therefore, they demand significantly increased arithmetic operations for robustness; consequently, they are not power efficient. This paper introduces a low arithmetic complexity image smoothing model and proposes an intrinsically robust and power efficient algorithm for anisotropic diffusion smoothing of images. The algorithm outperforms the foundational robust smoothing algorithms in terms of the standard performance metrics and visual quality.
ISSN:1687-5281
1687-5176
1687-5281
DOI:10.1186/s13640-019-0444-5