Texture modeling and separation of structure in images are treated in synergy. A variational image decomposition scheme is formulated using explicit texture reconstruction constraints from the outputs of linear lters tuned to different spatial frequencies and orientations. Relevant to the texture image part information is reconstructed using modulation modeling and component selection. The general formulation leads to a u + Kv model of K + 1 image components, with multiple texture subcomponents.