In the color imaging system based on Bayer color filter array (CFA),de mosaicking is a key process to high quality full-color images.Traditional demosaicking methods for quadrilate ral color filter array usually suffer from some artifacts,such as zipper effects and false colors.Medical researches s how that hexagonal sampling approach is more in line with the visual characteristics of the human eye.In th is paper,we try to apply hexagonal color filter array and sparse characteristics in the images in color imaging s ystem,and present a new demosaicking method based on compressive sensing (CS).Our method fully exploits the sparse ch aracteristics between and within three color components by using the color image theory and the RGB spectral characteristics,and thus can enhance the fidelity of reconstructed image,such as good texture details and color rep roduction.In particular,our method can avoid the aliasing phenomenon,such as false colors and zipper effects.The experimental results and peak signal to noise ratio (PSNR) value verify the effectiveness of the proposed method.