It has been shown that restoration algorithms often compute error estimates which can be interpreted as restoration quality measures. These measures constitute useful information, which can be used during a verification phase or by other restoration algorithms. Two examples have been further developed, taking into account these ideas: a global motion estimation algorithm, and a local random defects restoration algorithm. They can be combined: the global motion estimation algorithm allows one to compensate for camera motion in an efficient way, and the blotch restoration algorithm not only detects blotches, it also applies a more accurate motion estimation procedure around each defect candidate in order to interpolate missing information while trying to detect possible false detections caused by small fast moving objects. (6 pages)