A new compressed coded aperture(CCA) imaging method based on compressed sensing(CS) theory is developed to acquire high resolution image from a low resolution focus plane array(FPA) device using super resolution(SR) reconstruction algorithms.To obtain the better quality images,an improved compressed coded aperture is employed in imaging equipment.In this method,we utilize a multi-value mask(MVM) instead of the conventional binary mask in imaging system to enhance the coding quality.Then the adaptive total variation(TV) denoising algorithm is further applied to eliminate the artifacts caused by reconstruction algorithm in high-resolution image.The simulation results indicate that this algorithm can improve the imaging quality,significantly increasing the signal-to-noise-ratio(SNR) as well.