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Proceedings Paper

Restoration of impulse noise corrupted images based on gradients
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Paper Abstract

A new filtering algorithm is presented which can remove impulse noise from corrupted images while preserving details. The algorithm is based on a new impulse detection technique that uses image gradients. The proposed impulse detector can effectively categorize all the pixels in an image into two classes -- noise pixels and noise-free pixels. The noise-free pixels are kept untouched while the noise pixels are filtered by a noise cancellor such as median filter. Experimental results show that the proposed algorithm provides significant improvement over many existing techniques in terms of both subjective and objective evaluations. It also has the advantage of computational simplicity over those algorithms.

Paper Details

Date Published: 28 December 2000
PDF: 7 pages
Proc. SPIE 4115, Applications of Digital Image Processing XXIII, (28 December 2000); doi: 10.1117/12.411596
Show Author Affiliations
ShuQun Zhang, CUNY/College of Staten Island (United States)
Mohammad A. Karim, Univ. of Tennessee/Knoxville (United States)


Published in SPIE Proceedings Vol. 4115:
Applications of Digital Image Processing XXIII
Andrew G. Tescher, Editor(s)

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