• Victoriya V. Abramova National aerospace university “KhAI”, Ukraine
  • Sergiy K. Abramov National aerospace university “KhAI”, Ukraine
  • Volodymyr V. Lukin National aerospace university “KhAI”, Ukraine



digital image processing, mixed noise, blind noise characteristics evaluation


A new method for blind estimation of mixed noise parameters is proposed. The method is based on line fitting into a set of cluster centers obtained from scatter-plot of local variance and mean estimates. Improved estimation of cluster centers is performed on basis of fourth-order statistical moment analysis. The estimation results for the proposed method are compared to the results for other known methods using images from TID2008 database. It is shown that the proposed method provides estimation accuracy comparable to the estimation accuracy of the method based on maximum likelihood estimation of image and noise characteristics (which is considered the best among the existing methods). An advantage of our method is that it is considerably faster.


Wu, H. R. An Overview of Perceptual Processing for Digital Pictures / H. R. Wu, W. Lin, L. Karam // ICME 2012: Proc. of Int. Conf., Melbourne (Australia), 9-13 July 2012. – P. 113-120.

Umbaugh, S. E. Digital image processing and analysis: human and computer vision applications with CVIPtools: 2nd edition / S. E. Umbaugh. – 2010. – Boca Raton, FL: CRC Press. – 977 p.

Rubel, O. S. An improved prediction of DCT-based image filters efficiency using regression analysis / O. S. Rubel, V. V. Lukin // Information and Telecommunication Sciences. – Vol. 5, No. 1. – 2014. – P. 30 – 41.

Improved minimal inter-quantile distance method for blind estimation of noise variance in images / V. V. Lukin, S. K. Abramov, A. A. Zelensky, J. T. Astola, B. Vozel, K. Chehdi // Proc. of the SPIE on Image and Signal Processing for Remote Sensing XIII, Florence, Italy. – 2007. – Vol. 6748. – P. 67481I.

Image DCT coefficient statistics and their use in blind noise variance estimation / D. Kurkin, V. Lukin, V. Abramova, S. Abramov, B. Vozel, K. Chehdi // International Conference on Mathematical Methods in Electromagnetic Theory (MMET 2012), Kharkov, Ukraine, August 28-30, 2012. – Conference Proceedings CD-ROM. ISBN: 978-1-4673-4479-1

Secrets of image denoising cuisine / M. Lebrun, M. Colom, A. Buades, J. M. Morel // Acta Numerica. – 2012. – Vol. 21, No 1. – P. 475-576.

Modeling and estimation of signal-dependent noise in hyperspectral imagery / J. Meola, M. T. Eismann, R. L. Moses, J. N. Ash // Applied Optics. – 2011. – Vol. 50, No 21. – P. 3829 – 3846.

Filtering of radar images based on blind evaluation of noise characteristics / V.V. Lukin, N.N. Ponomarenko, S.K. Abramov, B. Vozel, K. Chehdi, J. Astola // Proceedings of Image and Signal Processing for Remote Sensing XIV, Cardiff, UK, Sept 2008, SPIE Vol. 7109. – 12 p.

Abramov S. K. Taking into account physical constraints on regression line fitting in the task of blind mixed noise variance evaluation on images / S. К. Аbramov, V. V. Zabrodina, V. V. Lukin // 20-th International conf. «Microwave equipment and telecommunication technologies» (CriMiKo’2010), Sevastopol, September 13–17, 2010. – Vol. 2. – P. 1229 –1230.

Scatter-plot Based Estimation of Mixed Noise Parameters for Remote Sensing Image Processing / V. V. Abramova, S. K. Abramov, V. V. Lukin, B. Vozel, K. Chehdi // Aviation in the XXI-st Century: Proceedings of the 5-th World Congress, Kiev (Ukraine), 2012. – Kiev, 2012. – Vol. 2. – P. 3.7.56-3.7.60.

Image Informative Maps for Component-wise Estimating Parameters of Signal-Dependent Noise / M. Uss, B. Vozel, V. Lukin, K. Chehdi // Journal of Electronic Imaging. – 2013. – Vol. 22, No 1. – P. 013 – 019. Doi:10.1117/1.JEI.22.1.013019.

Klaine, L. Unsupervised Variational Classification Through Image Multi-Thresholding / L. Klaine, B. Vozel, K. Chehdi // 13th EUSIPCO Conference: Proc. of the Int. conf., Antalya (Turkey), 4 – 8 Sept. 2005. – Antalya, 2005 – P. 4 – 7.

Tampere Image Database 2008 TID2008, version 1.0 [Electronic resource]. - Available from:

Аbramova, V. V. Multi-stage method for blind additive noise variance evaluation using homogeneous region detector based on fourth order moment / V. V. Abramova, S. К. Аbramov, V. V. Lukin // Radio-electronic and computer systems. – 2013. – № 4(63). – P. 15 – 24. [In Russian].

On required accuracy of mixed noise parameter estimation for image enhancement via denoising [Electronic resource] / V. V. Abramova, S. K. Abramov, V. V. Lukin, K. O. Egiazarian, J. T. Astola // EURASIP Journal on Image and Video Processing. – 2014. – No. 2014:3. Doi:10.1186/1687-5281-2014-3.