Homomorphic restoration of images degraded by light cloud cover

In this paper, we demonstrate the use of adaptive homomorphic filtering in exposing objects under light cloud cover. In particular, the homomorphic filter invoked is space-varying and is parameterized by the local mean level of the degraded image. The local mean serves as an indication of the extent of local cloud cover degradation. We show that this adaptive procedure has greater potential than the long-space methods in exposing objects beneath light cloud cover. In addition, adaptive homomorphic filtering compares favorably with an iterative homomorphic enhancement procedure which is an extension of the one-pass nonadaptive homomorphic filter.