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Proceedings Paper

Adaptive bilateral filtering for image denoising
Author(s): E. Farzana; M. Tanzid; K. M. Mohsin; M. I. H. Bhuiyan
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Paper Abstract

In this paper, an adaptive approach for bilateral filtering, based on estimation of the range filtering parameter using homogeneity measurements is introduced for image denoising. For each pixel, the homogeneity measurement is performed utilizing its local neighbors considering different directions, and the range parameter is estimated from the variance of the most homogeneous blocks. In order to reduce the residual noise, the filtering operation is carried out in an iterative manner. A stopping criterion using the structural similarity index is provided. Experiments are carried out using various standard images and the results show that the proposed method is more effective in reducing additive white Gaussian noise as compared to several recently introduced denoising techniques in terms of the peak signal-to-noise ratio and structural similarity index with a reduced computational requirement.

Paper Details

Date Published: 30 September 2011
PDF: 8 pages
Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82851I (30 September 2011); doi: 10.1117/12.913419
Show Author Affiliations
E. Farzana, Bangladesh Univ. of Engineering and Technology (Bangladesh)
M. Tanzid, Bangladesh Univ. of Engineering and Technology (Bangladesh)
K. M. Mohsin, Bangladesh Univ. of Engineering and Technology (Bangladesh)
M. I. H. Bhuiyan, Bangladesh Univ. of Engineering and Technology (Bangladesh)


Published in SPIE Proceedings Vol. 8285:
International Conference on Graphic and Image Processing (ICGIP 2011)
Yi Xie; Yanjun Zheng, Editor(s)

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