Medical Images Fusion Using Parameterized Logarithmic Image Processing Model and Wavelet Sub-band Selection Schemes

摘要: A novel wavelet sub-band selection scheme for medical image fusion, based on the Parameterized Logarithmic Image Processing (PLIP) model, is presented in this chapter which takes characteristics of human visual system (HVS) and spatial distribution coefficients into account. The different fusion schemes are applied frequency sub-bands. visibility weighted average method selected low-frequency band a variance high-frequency bands. Subsequently, fused processed with consistency verification to guarantee homogeneity image. Computer simulations illustrate that proposed algorithms PLIP model superior some existing methods, can get satisfactory results.