In SLCCA , the location and magnitude of significant coefficients are specified by the so-called significance map and magnitude respectively . As we know significance map is susceptible , error will propagate when data was deteriorated . This paper address this critical problem and provide an novel approach . In the significance map , the importance of data is interlaced . And our approach is to re-organize the significant map according to encoded symbol¡¦s characteristic . In SLCCA , four symbols are used to encode : POS , NEG , ZERO , LINK . POS or NEG represents the sign of a significant coefficient . ZERO represents an insignificant coefficient . LINK marks the presence of a significance-link . Symbol LINK is more important than POS NEG ZERO . Because when error happen in symbol LINK , it will lead to propagation error . Re-organized data is protected by differRS code . More important data are allocated more parity symbols .