Modified Maximum Likelihood Algorithm Based on Poisson-Gaussian Mixed Noise
Tang Cheng · Jisuanji gongcheng · 2012
Traditional image restoration algorithms always deal with Gaussian noise,however,the real astronomical images are polluted by Gaussian and Poisson mixed noise.Therefore,this paper introduces a imaging model of Poisson-Gaussian distribution,makes an effective approximation to the Maximum Likelihood(ML) algorithm based on the mixed model,and proposes a modified ML algorithm based on Poisson-Gaussian mixed noise to avoid the sensitivity to noise and the dependence to the original estimation of PSF.Experimental results show that this algorithm works well,and the robustness is well.