A fast method for image noise estimation using laplacian operator and adaptive edge detection

Shen-Chuan Tai; Shih-Ming Yang

doi:10.1109/ISCCSP.2008.4537384

A fast method for image noise estimation using laplacian operator and adaptive edge detection

Shen-Chuan Tai, Shih-Ming Yang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

116 Citations (Scopus)

Abstract

We present a simple and fast algorithm for image noise estimation. The input image is assumed to be corrupted by additive zero mean Gaussian noise. To exclude structures or details from contributing to the noise variance estimation, a simple edge detection algorithm using first-order gradients is applied first. Then a Laplacian operator followed by an averaging over the whole image will provide very accurate noise variance estimation. There is only one parameter which is self-determined and adaptive to the image contents. Simulation results show that the proposed algorithm performs well for different types of images over a large range of noise variances. Performance comparisons against other approaches are also provided.

Original language	English
Title of host publication	2008 3rd International Symposium on Communications, Control, and Signal Processing, ISCCSP2008
Pages	1077-1081
Number of pages	5
DOIs	https://doi.org/10.1109/ISCCSP.2008.4537384
Publication status	Published - 2008 Sep 5
Event	2008 3rd International Symposium on Communications, Control, and Signal Processing, ISCCSP2008 - St. Julians, Malta Duration: 2008 Mar 12 → 2008 Mar 14

Publication series

Name	2008 3rd International Symposium on Communications, Control, and Signal Processing, ISCCSP 2008

Other

Other	2008 3rd International Symposium on Communications, Control, and Signal Processing, ISCCSP2008
Country	Malta
City	St. Julians
Period	08-03-12 → 08-03-14

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All Science Journal Classification (ASJC) codes

Computational Theory and Mathematics
Signal Processing
Control and Systems Engineering

Cite this

Tai, S-C., & Yang, S-M. (2008). A fast method for image noise estimation using laplacian operator and adaptive edge detection. In 2008 3rd International Symposium on Communications, Control, and Signal Processing, ISCCSP2008 (pp. 1077-1081). [4537384] (2008 3rd International Symposium on Communications, Control, and Signal Processing, ISCCSP 2008). https://doi.org/10.1109/ISCCSP.2008.4537384

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Tai, S-C & Yang, S-M 2008, A fast method for image noise estimation using laplacian operator and adaptive edge detection. in 2008 3rd International Symposium on Communications, Control, and Signal Processing, ISCCSP2008., 4537384, 2008 3rd International Symposium on Communications, Control, and Signal Processing, ISCCSP 2008, pp. 1077-1081, 2008 3rd International Symposium on Communications, Control, and Signal Processing, ISCCSP2008, St. Julians, Malta, 08-03-12. https://doi.org/10.1109/ISCCSP.2008.4537384

A fast method for image noise estimation using laplacian operator and adaptive edge detection. / Tai, Shen-Chuan ; Yang, Shih-Ming.

2008 3rd International Symposium on Communications, Control, and Signal Processing, ISCCSP2008. 2008. p. 1077-1081 4537384 (2008 3rd International Symposium on Communications, Control, and Signal Processing, ISCCSP 2008).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - We present a simple and fast algorithm for image noise estimation. The input image is assumed to be corrupted by additive zero mean Gaussian noise. To exclude structures or details from contributing to the noise variance estimation, a simple edge detection algorithm using first-order gradients is applied first. Then a Laplacian operator followed by an averaging over the whole image will provide very accurate noise variance estimation. There is only one parameter which is self-determined and adaptive to the image contents. Simulation results show that the proposed algorithm performs well for different types of images over a large range of noise variances. Performance comparisons against other approaches are also provided.

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Tai S-C , Yang S-M. A fast method for image noise estimation using laplacian operator and adaptive edge detection. In 2008 3rd International Symposium on Communications, Control, and Signal Processing, ISCCSP2008. 2008. p. 1077-1081. 4537384. (2008 3rd International Symposium on Communications, Control, and Signal Processing, ISCCSP 2008). https://doi.org/10.1109/ISCCSP.2008.4537384

Access to Document

10.1109/ISCCSP.2008.4537384