Far Distance Filter (FDF) Near Distance Filter (NDF).

Two new spatial image de-noising filters have been developed. These filters work to remove abnormal pixels (noise) from an image by using some calculations that depend on the pixel distance and inverting the distance between pixels.

Far Distance Filter (FDF) and Near Distance Filter (NDF) are actually based on calculating the distance between image pixels and their neighbors in order to construct arbitrary values used to enhance abnormal pixels (noise). FDF and NDF use (5 × 5) kernel instead of the usual (3 × 3) kernel to produce better image results. The performance of proposed filters and the well-known mean filters is investigated through the measurement of PSNR and MSE. This performance shows clearly the efficiency of the proposed filters.

The extracted results obviously illustrate the efficiency of the proposed filters and give better image quality compared to the mean filter, which is used widely in image enhancement of the cardinality of 5 (5 x 5 kernel). It is possible to improve these filters further by adding more criteria, such as threshold, or by expanding the filter kernel cardinality. This is left for future work.