Aiming at the problem of GQA in sharpening image, an improved QGA is proposed. An adaptive quantum revolve door step adjustment strategy is used, different rotate angles are adopted for the evolution of different generations, and the same generation still has the same length. The Hamming distance of every quantum chromosome is compared in order to adjust its evolution speed. The solutions of quantum chromosome are updated to higher grades in the target range. The diagonal crossover mode is adopted for quantum crossover operation. The flow chart of the image sharpening algorithm is given. The simulation results show that the proposed algorithm is much better than other methods in sharpening edges and reducing noise, and image edges also get a very good enhancement.