This paper focuses on study of super-resolution image of face(Face Hallucination). A novel face hallucination algorithm is proposed in this paper based on multi-resolution pyramid structure. Different from Baker method (reference [1])

We add Kirsch operator to get high-frequency feature of image. Kirsch feature combined with the first and second order gray feature can extract more image information

make the matching process more accurate. In addition

we introduce one of the manifold learning methods

locally linear embedding (LLE) for matching process

to make priori model more accurate

more comprehensive

and having more higher frequency information. Experimental results show that this model predicted a priori be more accurate

it will make the recovery of facial images with better visual effect.