Adaptive multilevel median filtering of image sequences

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Title: Adaptive multilevel median filtering of image sequences
Author: Jackson, Shawn; Savakis, Andreas
Abstract: This paper presents a new method for adaptive multilevel median (AML3D) filtering of image sequences that can be used for impulse noise suppression in movies that have been converted from film to digital format. The proposed AML3D filter operates on three consecutive frames using an adaptive window and is designed to provide good image quality at modest computational cost. In addition, we present a benchmark comparison of methods used for median filtering of image sequences. Testing includes both grayscale and color images that are synthetically degraded by various levels of impulse noise. Results obtained for timing performance and image quality illustrate that the AML3D filter provides the highest PSNR improvement, while maintaining a reasonable throughput.
Description: "Adaptive multilevel median filtering of image sequences," The International Conference on Image Processing, vol. 3. The Institute of Electrical and Electronics Engineers. Held in Geona, Italy: 11-14 September 2005. ©2005 Institute of Electrical and Electronics Engineers (IEEE). Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
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Date: 2005-09-11

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