چکیده مقاله
The main part of the noise in digital images arises when taking pictures or transmission There is noise in the images captured by the image sensors of the real world Noise, based on its causes can have different probability density functions For example, such a model is called the Poisson distribution function of the random nature of photon arrival process that is consistent with the distribution of pixel values measured The parameters of the noise probability density function PDF can be achieved to some extent the properties of the sensor But, we need to estimate the parameters for imaging settings If we assume that the PDF of noise is approximately Gaussian, then we need only to estimate the mean and variance because the Gaussian PDF with only two parameters is determined In fact, in many cases, PDF of noise is not Gaussian and it has unknown distribution In this study, we introduce a generalized probability density function for modeling noise in images and propose a method to estimate its parameters Because the generalized probability density function has multiple parameters, so use common parameter estimation techniques such as derivative method to maximize the likelihood function would be extremely difficult In this study, we propose the use of evolutionary algorithms for global optimization The results show that this method accurately estimates the probability density function parameters
کلیدواژهها
نویسندگان
Hanif Yaghoobi
Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
Keivan Maghooli
Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
Alireza Ghahramani Barandagh
youngh Researchers and Elite Club,Tabriz branch,Islamic Azad University,Tabriz,Iran
شیوه ارجاع
Yaghoobi, Hanif and Maghooli, Keivan and Ghahramani Barandagh, Alireza,1394,Providing a New Approach for Modeling and Parameter Estimation of Probability Density Function of Noise in Digital Images,International Conference on New Research Findings in Electrical Engineering and Computer Science,Tehran
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