Research Of Image Restoration Technology Based On Genetic Algorithm

Image is an important material that the human acquires information. A large number of sharp images play an important part in our daily life and research. However, the image is always influenced by many factors in the process of creation, transmission and recording. Thus, we often can not get an image with intact information but a loss one. Therefore, research of image restoration becomes more and more important.Because of the complexity and close correlation of the image information, some difficult problems (such as non-integrity, non-precision, non-structure) arise. In conjunction with computational intelligence methods, image processing can get a better effect as compared with the traditional computational methods.Genetic algorithms are a class of parallel, stochastic and adaptive methods for global search. Genetic algorithm based image processing can find a solution from non-integrity, non-precision and partial facticity information with lower cost. Consequently, these methods are promising in image processing.This paper studies the digital image restoration techniques based on genetic algorithm (GA). First, an overall review is provided on the image restoration techniques and the method of GA, including its background, state-of-the-art, general system structure, basic principle, and its applications. By analyzing classical image restoration algorithm such as anti-filtering and wiener filtering, an improved genetic algorithm is presented for image restoration by incorporating new chromosome coding method, novel crossover mutation operation, and simulated annealing. Experimental results show that the new algorithm can achieve a high quality of the restored image with a low computational complexity. In addition, the novel genetic algorithm demonstrates good robustness in the optimal search of the whole.