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Multiresolution Analysis for Image Compression
2006With the advent of the multimedia era and the growth of digital packet networks, the total amount of image data accessed and exchanged by users daily has reached the huge value of several petabytes. Therefore, the compression of continuous-tone still images, either grayscale or color, has grown tremendously in importance.
ALPARONE, LUCIANO +2 more
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-NONUNIFORM MULTIRESOLUTION ANALYSIS
Journal of the Australian Mathematical Society, 2021AbstractGabardo and Nashed [‘Nonuniform multiresolution analyses and spectral pairs’, J. Funct. Anal.158(1) (1998), 209–241] have introduced the concept of nonuniform multiresolution analysis (NUMRA), based on the theory of spectral pairs, in which the associated translated set $\Lambda =\{0,{r}/{N}\}+2\mathbb Z$ is not necessarily a discrete ...
S. PITCHAI MURUGAN, G. P. YOUVARAJ
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Multiresolution analysis of heart sounds
Proceedings of Third International Conference on Electronics, Circuits, and Systems, 2002The wavelet transform, which is a new time-scale technique suitable for transient signal detection is applied to phonocardiogram signals taken from group of patients. It has been shown that using this new technique the separation between normal and abnormal subject could easily be obtained. Moreover, a separation between the high frequency systolic and
B. El-Asir +3 more
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Multiresolution analysis for meshes with appearance attributes
IEEE International Conference on Image Processing 2005, 2005We present a new multiresolution analysis framework for irregular meshes with attributes based on the lifting scheme. We introduce a surface prediction operator to compute the detail coefficients for the geometry and the attributes of the model. Attribute analysis gives appearance information to complete the geometrical analysis of the model.
Roy, Michael +4 more
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Generalized Multiresolution Analysis on Unstructured Grids
Numerische Mathematik, 1999The authors show that the efficiency of high-order essentially non-oscillatory approximations of conservation laws can be improved if ideas of multiresolution analysis (cf. Abgrall and Harten, CAM-reports 93-13, 94-10 and 94-20, University of California, Los Angeles, 1993-1994) are taken in account.These methods of data compression reduce the necessary
Friederike Schröder-Pander +2 more
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Multiresolution Analysis for Optimal Binary Filters
Journal of Mathematical Imaging and Vision, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Edward R. Dougherty +4 more
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Radiometric multiresolution analysis
WCC 2000 - ICSP 2000. 2000 5th International Conference on Signal Processing Proceedings. 16th World Computer Congress 2000, 2002A new concept, radiometric multiresolution analysis (RMA) is proposed. An algorithm for computing the RMA is presented. It is, analytically and experimentally, shown that the RMA is a useful tool to analyze the model images with multiplicative correlated noise, which provide a new method to filter or restore this white noise-like signal, such as an SAR
null Hong Sun, H. Maitre
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Oblique multiresolution analysis
Proceedings of IEEE-SP International Symposium on Time- Frequency and Time-Scale Analysis, 2002We present a new type of multiresolution, called oblique multiresolution (OMR), necessary in the decision context. All the fundamental properties of OMR are given and justified. The aim is to develop a multiresolution analysis which provide a redundant decomposition for use in the detection and classification application.
Z. Tira +3 more
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GENERALIZED MULTIRESOLUTION ANALYSIS
Wavelet Analysis and Its Applications, 2003Yujing Guan, Yunshi Zhou
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Extensions of Multiresolution Analysis
2014Multiresolution analysis (MRA) is considered as the heart of wavelet theory. The concept of MRA provides an elegant tool for the construction of wavelets. An MRA is an increasing family of closed subspaces \(\left \{V _{j}: j \in \mathbb{Z}\right \}\) of \(L^{2}(\mathbb{R})\) such that \(\bigcap _{j\in \mathbb{Z}}V _{j} = \left \{0\right \},\,\bigcup _{
Lokenath Debnath, Firdous Ahmad Shah
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