Passive Millimeter-wave Image Restoration Based on an Improved Fuzz Morphological Filter
Yuan-Jiang Li, Yuehua Li, Han Xiao, Yingkun Hou · International Journal of Digital Content Technology and its Applications · 2011
Passive millimeter-wave (PMMW) images have the inherently problem of poor resolution, so an iterative restoration algorithm based on Fuzz Mathematical morphological is proposed in this paper. An improved Fuzz morphological filter called FOMA that attempt to combine the advantage of Fuzz Set and omni directional multi-angle structuring elements adaptive (OMA) morphological filter is developed to reduce the effect of speckle noise and acquire the reliable information of details. Then the positive constraint is brought to the spatial domain. From experiments, the proposed algorithm shows better result than others, and enhances the resolution of PMMW images effectively.