Estimation of Salt-Pepper Noise in Images with Correlation Inspection

Abstract:

We proposed an approach for estimating the density of salt-pepper noise in images with correlation inspection. The correlation coefficients histogram was introduced in this paper to depict the correlation distributions of images. Based on the fact that the correlation distributions of natural images are nearly independent of individual images, we revealed how the correlation coefficients histogram of the noisy image deviates from that of natural image along with the noise density in qua- ntitative form, thus we took advantage of this relation to make estimation. Simulation results showed that the proposed approach outperforms those of existing methods.

• Periodical: Applied Mechanics and Materials (Volumes 462-463)
• Pages: 391-398
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.462-463.391
• Online since: November 2013
• Authors: Tian Yi Li*, Pei Gen Yuan, Dong Yan Yang, Xi Yao Hu
• Keywords: Correlation Coefficient, Density Estimation, Histogram, Salt-Pepper Noise

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