A nonseparable multiwavelet for edge detection

The performance of a balanced, nonseparable orthogonal multiwavelet for edge detection is analized. We present two alternative methods to meet this objective: in the first one the normed fine detail coefficients of the multiwavelet transform are thresholded, in the other, we adapt the modulus maxima...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autor principal: Ruedin, A.M.C
Formato: Acta de conferencia Capítulo de libro
Lenguaje:Inglés
Publicado: 2003
Acceso en línea:Registro en Scopus
Handle
Registro en la Biblioteca Digital
Aporte de:Registro referencial: Solicitar el recurso aquí
LEADER 04850caa a22006377a 4500
001 PAPER-4766
003 AR-BaUEN
005 20230518203421.0
008 190411s2003 xx ||||fo|||| 10| 0 eng|d
024 7 |2 scopus  |a 2-s2.0-1242308444 
040 |a Scopus  |b spa  |c AR-BaUEN  |d AR-BaUEN 
030 |a PSISD 
100 1 |a Ruedin, A.M.C. 
245 1 2 |a A nonseparable multiwavelet for edge detection 
260 |c 2003 
270 1 0 |m Ruedin, A.M.C.; Departamento de Computatión, Fac. de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina; email: anita@dc.uba.ar 
506 |2 openaire  |e Política editorial 
504 |a Mallat, S., Zhong, S., Characterization of signals from multiscale edges (1992) IEEE Trans. Pattern Analysis Machine Intell., 14, pp. 710-732 
504 |a Zhong, S., (1990) Edges Representation from Wavelet Transform Maxima, , PhD thesis, New York University, Sept 
504 |a Cohen, A., Daubechies, I., Non-separable bidimensional wavelet bases (1993) Revista Matematica Iberoamericana, 9 (1), pp. 51-137 
504 |a Kovacevic, J., Vetterli, M., Nonseparable multidimensional perfect reconstruction filter banks and wavelet bases for r n (1992) IEEE Transactions on Information Theory, 38 (2), pp. 533-555 
504 |a Lebrun, J., Vetterli, M., Balanced multiwavelets: Theory and design (1998) IEEE Transactions on Signal Processing, 46 (4), pp. 1119-1125 
504 |a Cotronei, M., Montefusco, L., Puccio, L., Multiwavelet analysis and signal processing IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, Special ISSUE on Multirate System, Filter Banks, Wavelets, and Applications, , to appear 
504 |a Geronimo, J., Hardin, D., Massopust, P., Fractal functions and wavelet expansions based on several scaling functions (1994) Journal of Approximation Theory, 78, pp. 373-401 
504 |a Lebrun, J., Vetterli, M., High order balanced multiwavelets (1998) Proc.IEEE Int. Conf. Accoust.Speech and Signal Processing 
504 |a Ruedin, A., Nonseparable orthogonal multiwavelets with 2 and 3 vanishing moments on the quincunx grid (1999) Proceedings SPIE Wavelet Appl. Signal Image Proc. VII, 3813, pp. 455-466 
504 |a Ruedin, A.M.C., Balanced nonseparable orthogonal multiwavelets with two and three vanishing moments on the quincunx grid (2000) Proceedings of SPIE, 4119, pp. 519-527. , Wavelet Applications in Signal and Image Processing VIII, A. Aldroubi, A. Laine, M. Unser, Editors 
504 |a Ruedin, A.M.C., Construction of nonseparable multiwavelets for nonlinear image compression (2002) Eurasip Journal of Applied Signal Processing, 2002 (1), pp. 73-79 
504 |a Ruedin, A.M.C., (2003) Nonseparable Multiwavelets: Construction and Applications to Image Processing, , PhD thesis, Universidad de Buenos Aires, May 
504 |a Mallat, S., (1999) A Wavelet Tour of Signal Processing, , Academic PressA4 - SPIE 
520 3 |a The performance of a balanced, nonseparable orthogonal multiwavelet for edge detection is analized. We present two alternative methods to meet this objective: in the first one the normed fine detail coefficients of the multiwavelet transform are thresholded, in the other, we adapt the modulus maxima algorithm to nonseparable multiwavelets. Results are highly satisfactory.  |l eng 
593 |a Departamento de Computatión, Fac. de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Argentina 
690 1 0 |a EDGE 
690 1 0 |a MODULUS MAXIMA 
690 1 0 |a MULTIWAVELET 
690 1 0 |a NONSEPARABLE 
690 1 0 |a QUINCUNX 
690 1 0 |a MODULUS MAXIMA 
690 1 0 |a MULTIWAVELET 
690 1 0 |a NONSEPARABLE 
690 1 0 |a QUINCUNX 
690 1 0 |a ALGORITHMS 
690 1 0 |a FUNCTIONS 
690 1 0 |a INFORMATION ANALYSIS 
690 1 0 |a MATHEMATICAL MODELS 
690 1 0 |a WAVELET TRANSFORMS 
690 1 0 |a IMAGE PROCESSING 
711 2 |c San Diego, CA  |d 4 August 2003 through 8 August 2003  |g Código de la conferencia: 62314 
773 0 |d 2003  |g v. 5207  |h pp. 700-709  |k n. 2  |p Proc SPIE Int Soc Opt Eng  |n Proceedings of SPIE - The International Society for Optical Engineering  |x 0277786X  |t Wavelets: Applications in Signal and Image Processing X 
856 4 1 |u https://www.scopus.com/inward/record.uri?eid=2-s2.0-1242308444&partnerID=40&md5=4471a11e262a17217c0b07fcc5aa545c  |y Registro en Scopus 
856 4 0 |u https://hdl.handle.net/20.500.12110/paper_0277786X_v5207_n2_p700_Ruedin  |y Handle 
856 4 0 |u https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0277786X_v5207_n2_p700_Ruedin  |y Registro en la Biblioteca Digital 
961 |a paper_0277786X_v5207_n2_p700_Ruedin  |b paper  |c NP 
962 |a info:eu-repo/semantics/conferenceObject  |a info:ar-repo/semantics/documento de conferencia  |b info:eu-repo/semantics/publishedVersion 
963 |a NORI 
999 |c 65719