Comparative Analyses Between Singular Value Decomposition And Hartley Transform In Picture Processing
Methodi Kovatchev, Eugene Mitev, Rumiana Nedkova · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1990
Two methods for decreasing variation due to additive noise into an image are compared: •First method is based on Hartley transformation. and optimal adaptive linear filtering In Hartley domain (In sense of minimal mean-square error). • The second method is a filter fitting to the singular value spectrum of a noisy matrix.