A new degraded image restoration algorithm which uses adaptive smoothness constraint based on fuzzy functions is used

is proposed.In order to suppress noise in image

simultaneously

preserve the details during image restoration

the algorithm uses the fuzzy functions to estimate the number and orientation of line elements in each image region

then these edge estimation results lead to Corresponding smoothness constraint.Furthermore

the smoothness constraint is updated along with image restoration iteration

such that the algorithm can suppress noise in flat regions and preserve details of existing edge.The experimental results show that it has faster convergence speed

better objective quality and subjective vision effect.