  In this paper, we analyze the error estimate of a wavelet frame based image
restoration method from degraded and incomplete measurements. We present the
error between the underlying original discrete image and the approximate
solution which has the minimal $\ell_1$-norm of the canonical wavelet frame
coefficients among all possible solutions. Then we further connect the error
estimate for the discrete model to the approximation to the underlying function
from which the underlying image comes.
