A Nonlinear Filter Based on Row and Column Operation for Positive Impulsive Noise Reduction

The positive impulsive noise may be caused by electron radiation in the photo-electronic imaging system. A novel nonlinear filter based on row and column filtering(RCF) was presented and its denoise and detail preservation properties were analyzed. According to the statistical behaviors of each row and column of an image, the pixel value is determined by its neighborhood. Each row is operated firstly. Then each column processing gives the final result. The given filter was compared with median filter, recursive median filter, adaptive filter and robust statistical adaptive filter through the computer simulations. It is shown that the filter is of a high performance for positive impulsive noise removal and detail preservation.