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Proceedings Paper

Connectivity filters for image sequences
Author(s): Montse Pardas; Jean C. Serra; Luis Torres
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Paper 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.

Paper Details

Date Published: 1 June 1992
PDF: 12 pages
Proc. SPIE 1769, Image Algebra and Morphological Image Processing III, (1 June 1992); doi: 10.1117/12.60652
Show Author Affiliations
Montse Pardas, Univ. Politecnica de Catalunya (Spain)
Jean C. Serra, Univ. Politecnica de Catalunya and Univ. Autonoma de Barcelo (Spain)
Luis Torres, Univ. Politecnica de Catalunya (Spain)


Published in SPIE Proceedings Vol. 1769:
Image Algebra and Morphological Image Processing III
Paul D. Gader; Edward R. Dougherty; Jean C. Serra, Editor(s)

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