The constructed high and low resolution dictionaries based on face image space can not satisfy the highly relevant conditions

which affects the effect of these reconstruction methods. A smooth sparse superresolution face reconstruction method based on canonical correlation analysis（CCA） space is proposed.Dictionaries mapped to the CCA space are sorted and sparse is updated

and the resulting new dictionary According to the input test block remapped to the CCA space

and introduce the smooth sparse model. The experimental results show that our method can achieve better denoising effect

clearer reconstruction effect and good smoothness than other face reconstruction methods.