Aiming at disadvantages in traditional image enhancement methods

such as disappearance of image detail

unsharp image contrast and poor method universality

propose an image enhancement method based on adaptive immune genetic algorithm（ AIGA）. The differences between AIGA and standard genetic algorithm（ SGA）are that the former restrains degradation phenomena appeared in the process of optimization by introducing the immune operator

and the probability of genetic operator and the digits of gene mutation are varied adaptively depending on the fitness of individual

thus improving the performance in population diversity

searching speed and global convergence. Experimental results show that the proposed algorithm can make the image detail clearly

make the contrast enhancement

and has strong universality.