A Laplacian pyramid with rational scale factor for multisensor image data fusion

In this work, a multiresolution approach, based on a generalized Laplacian pyramid with p:q (i.e., rational) scale factor, is proposed to merge image data of any resolution and represent them at any scale. The resulting bands capture multispectral features with an enhanced spatial resolution. Pyramid-generating filters are assessed and normalization of pyramid layers is introduced to enhance the data fusion performance. Objective and subjective trials show the effectiveness of the proposed method.