The Edge Driven Oriented Wavelet Transform: An Anisotropic Multidirectional Representation With Oriented Lifting Scheme
| العنوان: | The Edge Driven Oriented Wavelet Transform: An Anisotropic Multidirectional Representation With Oriented Lifting Scheme |
|---|---|
| المؤلفون: | Vincent Ricordel, Dominique Barba, Guillaume Jeannic |
| المساهمون: | Institut de Recherche en Communications et en Cybernétique de Nantes (IRCCyN), Mines Nantes (Mines Nantes)-École Centrale de Nantes (ECN)-Ecole Polytechnique de l'Université de Nantes (EPUN), Université de Nantes (UN)-Université de Nantes (UN)-PRES Université Nantes Angers Le Mans (UNAM)-Centre National de la Recherche Scientifique (CNRS) |
| المصدر: | VCIP 2007 VCIP 2007, Jan 2007, San Jose, United States VCIP |
| بيانات النشر: | HAL CCSD, 2007. |
| سنة النشر: | 2007 |
| مصطلحات موضوعية: | Discrete wavelet transform, geometry, Lifting scheme, Bandelet, sparse image representation, Stationary wavelet transform, 02 engineering and technology, wavelets, 03 medical and health sciences, 0302 clinical medicine, Wavelet, multiresolution, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, 0202 electrical engineering, electronic engineering, information engineering, Curvelet, Computer vision, multidirection, Mathematics, business.industry, Second-generation wavelet transform, lifting scheme, Wavelet transform, 030229 sport sciences, separable filtering, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], 020201 artificial intelligence & image processing, Artificial intelligence, business, Algorithm, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing |
| الوصف: | International audience; In spite of its success, the standard 2-D discrete wavelet transform (2D-DWT) is not completely adapted to represent image entities like edges or oriented textures. Indeed the DWT is limited by the spatial isotropy of its basis functions that can not take advantage of edges regularity and moreover, direction edge that is neither vertical or horizontal is represented using many of these wavelet basis functions which does mean that DWT does not provide a sparse representation for such discontinuities. Several representations have been proposed to overcome this lack. Some of them deal with more orientations while introducing redundancy (e.g. ridgelets, curvelets, contourlets) and their implementations are not trivial or require 2-D non separable filtering. We present two oriented lifting-based schemes using separable filtering, lead by edge extraction, and inspired from bandelets and curved wavelets. An image is decomposed into a quadtree according to the edge elements orientation. For each leaf, a wavelet transform is performed along the most regular orientation, and then along its orthogonal direction. Different adapted filters may be used for these two directions in order to achieve anisotropic filtering. Our method permits also a perfect reconstruction and a critical sampling. |
| اللغة: | English |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1343e205da271156522d92f6f72efe7 https://hal.archives-ouvertes.fr/hal-00251796/file/VCIP_2007.pdf |
| Rights: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....f1343e205da271156522d92f6f72efe7 |
| قاعدة البيانات: | OpenAIRE |
| الوصف غير متاح. |