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http://hdl.handle.net/10397/1545
| Title: | An improved algorithm for removing impulse noise based on long-range correlation in an image | Authors: | Fung, YH Chan, YH |
Issue Date: | 2002 | Source: | 2002 IEEE International Conference on Multimedia and Expo : proceedings, August 26-29, 2002, Swiss Federal Institute of Technology, Lausanne, Switzerland, v. 1, p. 157-160 | Abstract: | In this paper, an algorithm for removing impulse noise is proposed. The proposed algorithm does not only use the information of neighboring pixels in a local region, but uses the long-range correlation within a natural image as well. In the proposed algorithm, a search criterion based on the weighted transformed contents of regions is used to look for a region which is highly correlated to the region of interest and then the center of that region is selected to replace the corrupted pixel accordingly. The method was found to be very effective in removing impulse noise from corrupted images, both in terms of the objective distortion measure and subjective visual assessment. | Keywords: | Correlation methods Image denoising Impulse noise Search problems |
Publisher: | IEEE | ISBN: | 0-7803-7304-9 | Rights: | © 2002 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. |
| Appears in Collections: | Conference Paper |
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| Improved algorithm removing impulse noise_02.pdf | 553.43 kB | Adobe PDF | View/Open |
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