An improved 2-D adaptive lattice filtering algorithm and its application to detection of small objects in correlated clutter

The paper focuses on the development of an improved 2D adaptive lattice algorithm (2D-AL) and its application to the removal of correlated clutter to enhance the detectability of small objects in images. The two improvements proposed are increased flexibility in the calculation of the reflection coefficients and a 2D method to update the correlations used in the 2D-AL algorithm. The results of the clutter removal is compared to previously published ones for a 2D LMS (TDLMS) algorithm. 2D-AL is better able to predict spatially varying clutter than the TDLMS algorithm since it converges faster to new image properties. Examples of these improvements are shown. The TDLMS and 2D-AL algorithms are also shown to enhance a mammogram images for the detection of small microcalcifications