Estimation of the variance of noise in digital images using a median filter

This paper proposes a method for estimating noise based on the assumption that in the process of smoothing with median filter only noise damping takes place. Knowledge of noise damping coefficient and the selection of the appropriate area allows for more accurate estimation of the variance of the normal noise distribution.

[1]  R. Narayanan,et al.  Effects of Noise on the Information Content of Remote Sensing Images , 2003 .

[2]  Mohammed Ghazal,et al.  Homogeneity Localization Using Particle Filters With Application to Noise Estimation , 2011, IEEE Transactions on Image Processing.

[3]  Lei Zheng,et al.  Image Noise Level Estimation by Principal Component Analysis , 2013, IEEE Transactions on Image Processing.

[4]  Alan L. Yuille,et al.  Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[5]  Gary Mastin,et al.  Adaptive filters for digital image noise smoothing: An evaluation , 1985, Comput. Vis. Graph. Image Process..

[6]  Fionn Murtagh,et al.  Image processing through multiscale analysis and measurement noise modeling , 2000, Stat. Comput..

[7]  T. G. Kwaaitaal-Spassova,et al.  TELEVISION NOISE REDUCTION IC , 1996, 1996. Digest of Technical Papers., International Conference on Consumer Electronics.

[8]  Grzegorz Mikolajczak,et al.  Generation of FIR filters by using neural networks to improve digital images , 2011, 2011 34th International Conference on Telecommunications and Signal Processing (TSP).

[9]  Lei Zheng,et al.  Fast noise variance estimation by principal component analysis , 2013, Electronic Imaging.

[10]  Grzegorz Mikolajczak,et al.  The Synchronization of the Images Based on Normalized Mean Square Error Algorithm , 2010, MISSI.

[11]  Grzegorz Mikolajczak,et al.  Detection of Noise in Digital Images by Using the Averaging Filter Name COV , 2013, ACIIDS.

[12]  Søren I. Olsen,et al.  Estimation of Noise in Images: An Evaluation , 1993, CVGIP Graph. Model. Image Process..

[13]  Aggelos K. Katsaggelos,et al.  Digital image restoration , 2012, IEEE Signal Process. Mag..

[14]  Azriel Rosenfeld,et al.  A Fast Parallel Algorithm for Blind Estimation of Noise Variance , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[15]  Santiago Aja-Fernández,et al.  Spatially variant noise estimation in MRI: A homomorphic approach , 2015, Medical Image Anal..

[16]  H. Schroder,et al.  A new video noise reduction algorithm using spatial subbands , 1996, Proceedings of Third International Conference on Electronics, Circuits, and Systems.

[17]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[18]  S. Mitra,et al.  Handbook for Digital Signal Processing , 1993 .