- -

Localised rank-ordered differences vector filter for suppression of high-density impulse noise in colour images

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

  • Estadisticas de Uso

Localised rank-ordered differences vector filter for suppression of high-density impulse noise in colour images

Show full item record

Roig, B.; Estruch, V. (2016). Localised rank-ordered differences vector filter for suppression of high-density impulse noise in colour images. IET Image Processing. 10(1):24-33. doi:10.1049/iet-ipr.2014.0838

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/61255

Files in this item

Item Metadata

Title: Localised rank-ordered differences vector filter for suppression of high-density impulse noise in colour images
Author: Roig, Bernardino Estruch, Vicente-Domingo
UPV Unit: Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
Universitat Politècnica de València. Instituto de Investigación para la Gestión Integral de Zonas Costeras - Institut d'Investigació per a la Gestió Integral de Zones Costaneres
Issued date:
Abstract:
This research presents a complete study of a new alternating vector filter for the removal of impulsive noise in colour images. The method is based on an impulsive noise detector for greyscale images that has been adapted ...[+]
Subjects: Image colour analysis , Image denoising , Image filtering , Vectors , Impulse noise
Copyrigths: Cerrado
Source:
IET Image Processing. (issn: 1751-9659 )
DOI: 10.1049/iet-ipr.2014.0838
Publisher:
Institution of Engineering and Technology (IET)
Publisher version: http://dx.doi.org/10.1049/iet-ipr.2014.0838
Type: Artículo

References

Astola, J., Haavisto, P., & Neuvo, Y. (1990). Vector median filters. Proceedings of the IEEE, 78(4), 678-689. doi:10.1109/5.54807

Lukac, R., & Plataniotis, K. N. (2006). A Taxonomy of Color Image Filtering and Enhancement Solutions. Advances in Imaging and Electron Physics, 187-264. doi:10.1016/s1076-5670(05)40004-x

Allende, H., & Galbiati, J. (2004). A non-parametric filter for digital image restoration, using cluster analysis. Pattern Recognition Letters, 25(8), 841-847. doi:10.1016/j.patrec.2004.01.009 [+]
Astola, J., Haavisto, P., & Neuvo, Y. (1990). Vector median filters. Proceedings of the IEEE, 78(4), 678-689. doi:10.1109/5.54807

Lukac, R., & Plataniotis, K. N. (2006). A Taxonomy of Color Image Filtering and Enhancement Solutions. Advances in Imaging and Electron Physics, 187-264. doi:10.1016/s1076-5670(05)40004-x

Allende, H., & Galbiati, J. (2004). A non-parametric filter for digital image restoration, using cluster analysis. Pattern Recognition Letters, 25(8), 841-847. doi:10.1016/j.patrec.2004.01.009

Alajlan, N., Kamel, M., & Jernigan, E. (2004). Detail preserving impulsive noise removal. Signal Processing: Image Communication, 19(10), 993-1003. doi:10.1016/j.image.2004.08.003

Pei-Eng Ng, & Kai-Kuang Ma. (2006). A switching median filter with boundary discriminative noise detection for extremely corrupted images. IEEE Transactions on Image Processing, 15(6), 1506-1516. doi:10.1109/tip.2005.871129

Jin, L., & Li, D. (2007). An Efficient Color-Impulse Detector and its Application to Color Images. IEEE Signal Processing Letters, 14(6), 397-400. doi:10.1109/lsp.2006.887840

Lin, T.-C., & Yu, P.-T. (2004). Partition fuzzy median filter based on fuzzy rules for image restoration. Fuzzy Sets and Systems, 147(1), 75-97. doi:10.1016/s0165-0114(03)00209-4

Schulte, S., De Witte, V., Nachtegael, M., Van der Weken, D., & Kerre, E. E. (2007). Fuzzy random impulse noise reduction method. Fuzzy Sets and Systems, 158(3), 270-283. doi:10.1016/j.fss.2006.10.010

Lukac, R., Plataniotis, K. N., Venetsanopoulos, A. N., & Smolka, B. (2005). A Statistically-Switched Adaptive Vector Median Filter. Journal of Intelligent and Robotic Systems, 42(4), 361-391. doi:10.1007/s10846-005-1730-2

Srinivasan, K. S., & Ebenezer, D. (2007). A New Fast and Efficient Decision-Based Algorithm for Removal of High-Density Impulse Noises. IEEE Signal Processing Letters, 14(3), 189-192. doi:10.1109/lsp.2006.884018

Chan, R. H., Chung-Wa, & Nikolova, M. (2005). Salt-and-pepper noise removal by median-type noise detectors and detail-preserving regularization. IEEE Transactions on Image Processing, 14(10), 1479-1485. doi:10.1109/tip.2005.852196

Gallegos-Funes, F. J., & Ponomaryov, V. I. (2004). Real-time image filtering scheme based on robust estimators in presence of impulsive noise. Real-Time Imaging, 10(2), 69-80. doi:10.1016/j.rti.2004.02.002

Lukac, R. (2004). Adaptive Color Image Filtering Based on Center-Weighted Vector Directional Filters. Multidimensional Systems and Signal Processing, 15(2), 169-196. doi:10.1023/b:mult.0000017024.66297.a0

Morillas, S., Gregori, V., Peris-Fajarnés, G., & Latorre, P. (2005). A fast impulsive noise color image filter using fuzzy metrics. Real-Time Imaging, 11(5-6), 417-428. doi:10.1016/j.rti.2005.06.007

Smolka, B., Lukac, R., Chydzinski, A., Plataniotis, K. N., & Wojciechowski, W. (2003). Fast adaptive similarity based impulsive noise reduction filter. Real-Time Imaging, 9(4), 261-276. doi:10.1016/j.rti.2003.09.015

Smolka, B., & Chydzinski, A. (2005). Fast detection and impulsive noise removal in color images. Real-Time Imaging, 11(5-6), 389-402. doi:10.1016/j.rti.2005.07.003

Dong, Y., & Xu, S. (2007). A New Directional Weighted Median Filter for Removal of Random-Valued Impulse Noise. IEEE Signal Processing Letters, 14(3), 193-196. doi:10.1109/lsp.2006.884014

Jin, L., & Li, D. (2007). A switching vector median filter based on the CIELAB color space for color image restoration. Signal Processing, 87(6), 1345-1354. doi:10.1016/j.sigpro.2006.11.008

Yuan, S.-Q., & Tan, Y.-H. (2006). Impulse noise removal by a global–local noise detector and adaptive median filter. Signal Processing, 86(8), 2123-2128. doi:10.1016/j.sigpro.2006.01.009

Garnett, R., Huegerich, T., Chui, C., & Wenjie He. (2005). A universal noise removal algorithm with an impulse detector. IEEE Transactions on Image Processing, 14(11), 1747-1754. doi:10.1109/tip.2005.857261

Yuzhong Shen, & Barner, K. E. (2006). Fast adaptive optimization of weighted vector median filters. IEEE Transactions on Signal Processing, 54(7), 2497-2510. doi:10.1109/tsp.2006.874028

Yao Nie, & Barner, K. E. (2006). The fuzzy transformation and its applications in image processing. IEEE Transactions on Image Processing, 15(4), 910-927. doi:10.1109/tip.2005.863111

Yuksel, M. E. (2006). A hybrid neuro-fuzzy filter for edge preserving restoration of images corrupted by impulse noise. IEEE Transactions on Image Processing, 15(4), 928-936. doi:10.1109/tip.2005.863941

Hanji, G., & Latte, M. (2012). Detail Preserving Fast Median Based Filter. Journal of Advanced Computer Science & Technology, 1(4). doi:10.14419/jacst.v1i4.248

Ibrahim, H., Pik Kong, N., & Ng, T. (2008). Simple adaptive median filter for the removal of impulse noise from highly corrupted images. IEEE Transactions on Consumer Electronics, 54(4), 1920-1927. doi:10.1109/tce.2008.4711254

Perona, P., & Malik, J. (1990). Scale-space and edge detection using anisotropic diffusion. IEEE Transactions on Pattern Analysis and Machine Intelligence, 12(7), 629-639. doi:10.1109/34.56205

Weickert, J. (1999). International Journal of Computer Vision, 31(2/3), 111-127. doi:10.1023/a:1008009714131

[-]

recommendations

 

This item appears in the following Collection(s)

Show full item record