Real-time implementation of order-statistics-based directional filters
Real-time implementation of order-statistics-based directional filters
- Author(s): M. Emre Celebi
- DOI: 10.1049/iet-ipr:20080080
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- Author(s): M. Emre Celebi 1
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View affiliations
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Affiliations:
1: Department of Computer Science, Louisiana State University in Shreveport, Shreveport, USA
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Affiliations:
1: Department of Computer Science, Louisiana State University in Shreveport, Shreveport, USA
- Source:
Volume 3, Issue 1,
February 2009,
p.
1 – 9
DOI: 10.1049/iet-ipr:20080080 , Print ISSN 1751-9659, Online ISSN 1751-9667
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Vector filters based on order-statistics have proved successful in removing impulsive noise from colour images while preserving edges and fine image details. Among these filters, the ones that involve the cosine distance function (directional filters) have particularly high computational requirements, which limits their use in time-critical applications. In this paper, we introduce two methods to speed up these filters. Experiments on a diverse set of colour images show that the proposed methods provide substantial computational gains without significant loss of accuracy.
Inspec keywords: image colour analysis; image enhancement; statistical analysis; image denoising; spatial filters
Other keywords:
Subjects: Computer vision and image processing techniques; Other topics in statistics; Other topics in statistics; Optical, image and video signal processing
References
-
-
1)
- H.C. Li . A generalized problem of least squares. Am. Math. Month. , 2 , 135 - 137
-
2)
- R. Lukac . Color image filtering by vector directional order-statistics. Pattern Recognit. Image Anal. , 3 , 279 - 285
-
3)
- J. Astola , P. Haavisto , Y. Neuvo . Vector median filters. Proc. IEEE , 4 , 678 - 689
-
4)
- Lukac, R., Smolka, B., Plataniotis, K.N., Venetsanopoulos, A.N.: `Generalized entropy vector filters', Proc. 4th EURASIP EC-VIP-MC, Video, Image Processing and Multimedia Communications Conf., July 2003, Zagreb, Crotia, p. 239–244.
-
5)
- K.N. Plataniotis , D. Androutsos , S. Vinayagamoorthy , A.N. Venetsanopoulos . A nearest neighbor multichannel filter. Electron. Lett. , 1910 - 1911
-
6)
- T. Viero , K. Oistamo , Y. Neuvo . Three-dimensional median-related filters for color image sequence filtering. IEEE Trans. Circuits Syst. Video Technol. , 2 , 129 - 142
-
7)
- P.E. Trahanias , A.N. Venetsanopoulos . Vector directional filters: a new class of multichannel image processing filters. IEEE Trans. Image Process , 4 , 528 - 534
-
8)
- Gabbouj, M., Cheikh, F.A.: `Vector median-vector directional hybrid filter for color image restoration', Proc. EUSIPCO'96 Conf., September 1996, Trieste, Italy, p. 879–882.
-
9)
- M. Barni , F. Buti , F. Bartolini , V. Cappellini . A quasi-Euclidean norm to speed up vector median filtering. IEEE Trans. Image Process. , 10 , 1704 - 1709
-
10)
- D. Chaudhuri , C.A. Murthy , B.B. Chaudhuri . A modified metric to compute distance. Pattern Recognit. , 7 , 667 - 677
-
11)
- D. Karakos , P.E. Trahanias . Generalized multichannel image filtering structures. IEEE Trans. Image Process , 7 , 1038 - 1045
-
12)
- L. Khriji , M. Gabbouj . Adaptive fuzzy order statistics-rational hybrid filters for color image processing. Fuzzy Sets Syst. , 1 , 35 - 46
-
13)
- V. Barnett . The ordering of multivariate data. J. Stat. Soc. Am. , 3 , 318 - 355
-
14)
- M.E. Celebi , H.A. Kingravi , Y.A. Aslandogan . Nonlinear vector filtering for impulsive noise removal from color images. J. Electron. Imag. , 3
-
15)
- E.W. Cheney . (1966) Introduction to approximation theory.
-
16)
- R. Lukac . Adaptive color image filtering based on center-weighted vector directional filters. Multidimens. Syst. Signal Process. , 2 , 169 - 196
-
17)
- R. Lukac , K.N. Plataniotis , P.W. (ed.): Hawkes . (2006) A taxonomy of color image filtering and enhancement solutions.
-
18)
- K.N. Plataniotis , A.N. Venetsanopoulos . (2000) Color image processing and applications.
-
19)
- N. Nikolaidis , I. Pitas . Nonlinear processing and analysis of angular signals. IEEE Trans. Signal Process. , 12 , 3181 - 3194
-
20)
- R. Lukac , B. Smolka , K.N. Plataniotis , A.N. Venetsanopoulos . Vector sigma filters for noise detection and removal in color images. J. Vis. Commun. Image Represent. , 1 , 1 - 26
-
21)
- K.N. Plataniotis , D. Androutsos , A.N. Venetsanopoulos . Fuzzy adaptive filters for multichannel image processing. Signal Process. , 1 , 93 - 106
-
22)
- P.E. Trahanias , D. Karakos , A.N. Venetsanopoulos . Directional processing of color images: theory and experimental results. IEEE Trans. Image Process. , 6 , 868 - 880
-
1)