nd unity variance for each value of X, y, and c) and where the value of an element G[ X, y, c ] used in the right-hand side of the equation is inferred to be equal to 0 when any of the following conditions are true: X is less than 0, y is less than 0, X is greater than or equal to PicWidthInSamples, C is less than 0. comp_model_value[c]i]0 provides the first model value for the model as specified by model id. comp_model_value[c][i][0 corresponds to the standard deviation of the Gaussian noise term in the generation functions specified in Equations D-21 through D-26. comp_model_value[c][i]1] provides the second model value for the model as specified by model id. When model id is equal to 0, comp_model_value[ c][i][1] shall be greater than or equal to 0 and less than 16. When not present in the film grain characteristics SEI message, comp_model_value[c]i]1] shall be inferred follows: If model : id is equal to 0, comp_model_value[ c][i][1]] shall be inferred to be equal to 8. Otherwise (model_id is equal to 1), comp_model_value[ shall be inferred to be equal to 0. Rec. ITU-T H.264 (01/2012) comp_model_value[c][i][1] is interpreted as follows: If model id is equal to 0, comp_model_value[ c][][]]] indicates the horizontal high cut frequency to be used to filter the DCT of a block of 16x16 random values. Otherwise (model id is equal to 1), comp_model_value[ indicates the first order spatial correlation for neighbouring samples (x 1, y) and (x, y - 1). comp_model_value[ c ][ i ][ provides the third model value for the model as specified by model id When model_id is equal to 0, comp_model_value[ c ][ 2 shall be greater than or equal to 0 and less than 16. When not present in the film grain characteristics SEI message, comp_model_value[c]] shall be inferred as follows: If model id is equal to 0, comp_model_value[c]i][2] shall be inferred to be equal to comp_model_value[c]] Otherwise (model_ id is equal to 1), comp_model_value[c][ shall be inferred to be equal to comp_model_value[ C ][ i ][ 2 ] is interpreted as follows: I