CHARMS: a simple framework for adaptive simulation
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Multi-wavelets from B-spline super-functions with approximation order
Signal Processing
Texture Classification Based on Coevolution Approach in Multiwavelet Feature Space
Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Optimal Threshold Estimation Using Prototype Selection
Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition
A Study on Preconditioning Multiwavelet Systems for Image Compression
WAA '01 Proceedings of the Second International Conference on Wavelet Analysis and Its Applications
Context based multiwavelet image coding using SPIHT framework
Machine Graphics & Vision International Journal
A New Multiwavelet-Based Approach to Image Fusion
Journal of Mathematical Imaging and Vision
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Construction of nonseparable multiwavelets for nonlinear image compression
EURASIP Journal on Applied Signal Processing
A multivariate thresholding technique for image denoising using multiwavelets
EURASIP Journal on Applied Signal Processing
Universal Steganalysis Using Multiwavelet Higher-Order Statistics and Support Vector Machines
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III
Image Denoising Using Three Scales of Wavelet Coefficients
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks, Part II
Image Denoising Using Neighbouring Contourlet Coefficients
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks, Part II
Machine Learning in Granular Computing
RSKT '09 Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology
Efficient Segmentation of Lung Abnormalities in CT Images
ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
Content-based image database system for epilepsy
Computer Methods and Programs in Biomedicine
The performance of multiwavelets based OFDM system under different channel conditions
Digital Signal Processing
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
Image watermarking method in multiwavelet domain based on support vector machines
Journal of Systems and Software
A machine learning system for identifying hypertrophy in histopathology images
AICS'09 Proceedings of the 20th Irish conference on Artificial intelligence and cognitive science
Multifocus image fusion based on multiwavelet and immune clonal selection
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part II
Tree-structured legendre multi-wavelets
EUROCAST'05 Proceedings of the 10th international conference on Computer Aided Systems Theory
Recognition of driving postures by multiwavelet transform and multilayer perceptron classifier
Engineering Applications of Artificial Intelligence
Spectrum-efficient cognitive radio transceiver using multiwavelet filters
ISRN Communications and Networking
Clinical experience sharing by similar case retrieval
Proceedings of the 1st ACM international workshop on Multimedia indexing and information retrieval for healthcare
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Multiwavelets are a new addition to the body of wavelet theory. Realizable as matrix-valued filterbanks leading to wavelet bases, multiwavelets offer simultaneous orthogonality, symmetry, and short support, which is not possible with scalar two-channel wavelet systems. After reviewing this theory, we examine the use of multiwavelets in a filterbank setting for discrete-time signal and image processing. Multiwavelets differ from scalar wavelet systems in requiring two or more input streams to the multiwavelet filterbank. We describe two methods (repeated row and approximation/deapproximation) for obtaining such a vector input stream from a one-dimensional (1-D) signal. Algorithms for symmetric extension of signals at boundaries are then developed, and naturally integrated with approximation-based preprocessing. We describe an additional algorithm for multiwavelet processing of two-dimensional (2-D) signals, two rows at a time, and develop a new family of multiwavelets (the constrained pairs) that is well-suited to this approach. This suite of novel techniques is then applied to two basic signal processing problems, denoising via wavelet-shrinkage, and data compression. After developing the approach via model problems in one dimension, we apply multiwavelet processing to images, frequently obtaining performance superior to the comparable scalar wavelet transform