If we assume that a natural image can be modeled as a succession of a multilevel system, we can develop an optimal
routine of a matrix superposition. Each matrix separates the fundamental elements by a set of optimal criteria. The
matrix superposition is then characterized by a tree-based principle which is applied adaptively. We will also
demonstrate how the missing data constrains may be overcome by collecting additional measurements.