This paper presents a new restoration approach to reduce coding artifacts in block-transform image coding. Di erent from conventional restoration techniques, the proposed one is non-iterative and requires light computational cost, yet can reconstruct objectively and subjectively better images. This good performance is achieved because of the following advantages the proposed approach has: i e cient incorporation of the solution bound into restoration; and ii e ective exploitation of local image properties and statistical knowledge about the quantizers used.