Abstract: Considering the problem that NSCT-based multiresolution fusion methods may change the reliable information during the process of decomposition and reconstruction,a multifocus image fusion method based on a new pixel clarity measure and NSCT in spatial domain was proposed.According to the characteristics of the human visual system (HVS) of frequency and direction selectivity,and the distribution difference between the image's salient features and the noise in NSCT domain,the conception of local directional contrast and directional vector is introduced in the measurement of pixel clarity.Finally based on pixel clarity of the corresponding pixels of the source images,a selection principle is put forward for fusion.Experimental results demonstrated that the proposed method could not only extract more important visual information from source images,but also effectively avoid the introduction of artificial information.It significantly outperforms the traditional image fusion methods.