To solve the problem of noisy image restoration in face recognition area

a algorithm ot race image de-noising of compressed sensing was proposed in this paper

called Collaborative Sparse Measure （CSM） . The algorithm of CSM used a priori knowledge of image

image sparse representation with a domain

and the sparse representation of two-dimensional and three-dimensional simultaneously did adaptive hybrid spa- tial domain conversion

and solved problem with Augmented Lagrangian technique. The result of the experi- ment indicates that the signal to noise ratio of CSM algorithm is superior to that of the traditional algorithm

which has a high efficiency.