Image intensity gradients can be encoded in a 2-dimensional channel representation. This report discusses the computation of such gradient channel matrices and what information can be extracted from it. In particular does this representation allow to distinguish multiple orientations and magnitudes in a single representation. It is shown that this can be used to recover orientation very accurately. This holds in particular near orientation discontinuities where classical orientation estimation fails.