Research on the Fast Algorithm of Spatial Homomorphic Filtering
空域同态滤波算法研究

An improved homomorphic spatial filtering algorithm is presented.With the reversed low-frequency image this algorithm compensates imbalanced illuminating in the uneven brightness image in order to reduce the loss of low frequency components.Then two optimum schemes about spatial filtering are proposed for efficient processing: a method of 2D window template decomposition,which is constructed by tensor production and an approximate spatial filtering based on sampling and interpolation.Simulation indicates that the improved algorithm with the two optimum methods enhances illuminating uniformity,reduces the computational load and keeps the low frequency components effectively.Besides,it can be performed by more 2D windows.