Out of focus blur estimation using genetic algorithm

Blur identification is the most important step of image restoration. Since now, many researchers have presented methods to estimate out of focus blur, but most of these methods suffer the additive noise. In this paper, a method is presented to estimate out of focus blur in noisy images precisely. Proposed method uses two rough estimate of blur function parameter, and then the real parameter is calculated using a genetic algorithm. The structure of out of focus blurring function was analyzed in frequency domain to develop a precise method. Experimental results showed proposed method was very precise.