Speckle reduction with adaptive stack filters
Stack filters are a special case of non-linear filters. They have a good performance for filtering images with different types of noise while preserving edges and details. A stack filter decomposes an input image into stacks of binary images according to a set of thresholds. Each binary image is the...
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| Formato: | Capítulo de libro |
| Lenguaje: | Inglés |
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Elsevier B.V.
2014
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| Acceso en línea: | Registro en Scopus DOI Handle Registro en la Biblioteca Digital |
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| LEADER | 07937caa a22008297a 4500 | ||
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| 001 | PAPER-14345 | ||
| 003 | AR-BaUEN | ||
| 005 | 20230518204451.0 | ||
| 008 | 190411s2014 xx ||||fo|||| 00| 0 eng|d | ||
| 024 | 7 | |2 scopus |a 2-s2.0-84893686985 | |
| 040 | |a Scopus |b spa |c AR-BaUEN |d AR-BaUEN | ||
| 100 | 1 | |a Buemi, M.E. | |
| 245 | 1 | 0 | |a Speckle reduction with adaptive stack filters |
| 260 | |b Elsevier B.V. |c 2014 | ||
| 270 | 1 | 0 | |m Buemi, M.E.; Departamento de Computation, Facultad de Ciencias Exactes y Naturales, Universidad de Buenos Aires, Pabellón I, Buenos Aires, Argentina; email: mebuemi@dc.uba.ar |
| 506 | |2 openaire |e Política editorial | ||
| 504 | |a Astola, J., Kuosmanen, P., (1997) Fundamentals of Nonlinear Digital Filtering, , CRC Press, Boca Raton | ||
| 504 | |a Buemi, M.E., Mejail, M.E., Jacobo-Berlles, J., Gambini, J., Improvement in SAR image classification using adaptive stack filters (2007) Proceedings XX Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI), pp. 263-270. , IEEE Computer Press | ||
| 504 | |a Buemi, M.E., Mejail, M., Jacobo, J., Frery, A.C., Ramos, H.S., Assessment of SAR image filtering using adaptive stack filters (2011) Proceedings 16th Iberoamerican Congress on Pattern Recognition (CIARP 2011), 7042, pp. 89-96. , Lecture Notes in Computer Science Springer, Pucón, Chile | ||
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| 504 | |a Mejail, M.E., Jacobo-Berlles, J.C., Frery, A.C., Bustos, O.H., Classification of SAR images using a general and tractable multiplicative model (2003) International Journal of Remote Sensing, 24 (18), pp. 3565-3582. , DOI 10.1080/0143116021000053274 | ||
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| 504 | |a Yoo, J., Fong, K.L., Huang, J.-J., Coyle, E.J., Adams III, G.B., A fast algorithm for designing stack filters (1999) IEEE Transactions on Image Processing, 8 (8), pp. 772-781 | ||
| 520 | 3 | |a Stack filters are a special case of non-linear filters. They have a good performance for filtering images with different types of noise while preserving edges and details. A stack filter decomposes an input image into stacks of binary images according to a set of thresholds. Each binary image is then filtered by a Boolean function, which characterizes the filter. Adaptive stack filters can be computed by training using a prototype (ideal) image and its corrupted version, leading to optimized filters with respect to a loss function. In this work we propose the use of training with selected samples for the estimation of the optimal Boolean function. We study the performance of adaptive stack filters when they are applied to speckled imagery, in particular to Synthetic Aperture Radar (SAR) images. This is done by evaluating the quality of the filtered images through the use of suitable image quality indexes and by measuring the classification accuracy of the resulting images. We used SAR images as input, since they are affected by speckle noise that makes classification a difficult task. © 2013 Elsevier B.V. All rights reserved. |l eng | |
| 593 | |a Departamento de Computation, Facultad de Ciencias Exactes y Naturales, Universidad de Buenos Aires, Pabellón I, Buenos Aires, Argentina | ||
| 593 | |a LCCV and LaCCAN, CPMAT, Universidade Federal de Alagoas, BR 104 Norte km 97, 57072-970 Maceió, AL, Brazil | ||
| 690 | 1 | 0 | |a NON-LINEAR FILTERS |
| 690 | 1 | 0 | |a SAR IMAGE FILTERING |
| 690 | 1 | 0 | |a SPECKLE NOISE |
| 690 | 1 | 0 | |a STACK FILTERS |
| 690 | 1 | 0 | |a BANDPASS FILTERS |
| 690 | 1 | 0 | |a BINARY IMAGES |
| 690 | 1 | 0 | |a BINS |
| 690 | 1 | 0 | |a BOOLEAN FUNCTIONS |
| 690 | 1 | 0 | |a NONLINEAR FILTERING |
| 690 | 1 | 0 | |a RADAR IMAGING |
| 690 | 1 | 0 | |a SPECKLE |
| 690 | 1 | 0 | |a SYNTHETIC APERTURE RADAR |
| 690 | 1 | 0 | |a CLASSIFICATION ACCURACY |
| 690 | 1 | 0 | |a NON LINEAR |
| 690 | 1 | 0 | |a OPTIMIZED FILTERS |
| 690 | 1 | 0 | |a SAR IMAGES |
| 690 | 1 | 0 | |a SPECKLE NOISE |
| 690 | 1 | 0 | |a SPECKLE REDUCTION |
| 690 | 1 | 0 | |a STACK FILTERS |
| 690 | 1 | 0 | |a SYNTHETIC APERTURE RADAR (SAR) IMAGES |
| 690 | 1 | 0 | |a ADAPTIVE FILTERS |
| 700 | 1 | |a Frery, A.C. | |
| 700 | 1 | |a Ramos, H.S. | |
| 773 | 0 | |d Elsevier B.V., 2014 |g v. 36 |h pp. 281-287 |k n. 1 |p Pattern Recogn. Lett. |x 01678655 |t Pattern Recognition Letters | |
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| 856 | 4 | 0 | |u https://doi.org/10.1016/j.patrec.2013.06.005 |y DOI |
| 856 | 4 | 0 | |u https://hdl.handle.net/20.500.12110/paper_01678655_v36_n1_p281_Buemi |y Handle |
| 856 | 4 | 0 | |u https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01678655_v36_n1_p281_Buemi |y Registro en la Biblioteca Digital |
| 961 | |a paper_01678655_v36_n1_p281_Buemi |b paper |c PE | ||
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