Aiming at problems that image super-resolution reconstruction（SRR） based on sparse representation can improve image reconstruction quality

but generally there are large amount of computation and timeconsuming

present a multiple images fast super-resolution reconstruction based on sparse representation. The sparse representation of the image is obtained by sparse representation algorithm of particle swarm optimization（PSO）

and sparse coefficients of several images are fused. High resolution image is obtained by reconstruction according to sparse coefficient after fusion. Experimental results show that reconstruction speed of this method is faster and quality of reconstruction is higher.