Image enhancement based on improved genetic algorithm and lifting wavelet method

An image enhancement algorithm based on genetic algorithm and lifting wavelet method is proposed in this paper. This algorithm improves crossover operation algorithm. It utilizes average displacement method for mutation operation. Probabilities of crossover and mutation are selected adaptively. We have decided the fitness function, and have implemented multi-thread design. The algorithm optimizes the prediction and updating operator of lifting wavelet by means of genetic algorithm. The decision of the prediction and updating operator is improved. The contrast ration between the object and background is increased. The details of images are reserved well. The background noise is reduced, and the algorithm is very efficient.