Connectivity filters for image sequences

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Abstract
In this paper a class of morphological filters acting on moving targets is introduced. The aim is to reduce noise such as impulsive noise that may occur at any stage of a communication system. Good and well known classical techniques, such as median filtering, already exist to enhance images corrupted by impulsive noise. The common problem with the use of these techniques for still and moving images is that they generally blur the image. Contours and fine structures present in the image may be gravely affected or even lost. The proposed method is a three-dimensional morphological filter based on the temporal connectivity of image sequences. Additional spatial morphological filters have been used to improve the performance in sequences with high motion or high density of noise. Results are presented that show how the filters act for suppressing impulsive noise and the high resolution obtained in the filtered image sequences.

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