Image enhancement based on quantum-behaved particle swarm optimization

To improve the adaptability and versatility of image enhancement, a Quantum-behaved Particle Swarm Optimization (QPSO) algorithm approach to image enhancement was proposed, in which image enhancement was formulated as an optimization problem. And a new objective function was used to evaluate the algorithm's performance. Not many parameters of QPSO need to be adjusted and the randomicity of QPSO is strong, so QPSO can guarantee the efficiency and global convergence of algorithm. The efficiency and superiority of image enhancement based on QPSO algorithms can be confirmed by the simulation results.