Scalable Color Image Indexing and Retrieval Using Vector Wavelets
IEEE Transactions on Knowledge and Data Engineering
Texture Classification Based on Coevolution Approach in Multiwavelet Feature Space
Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical 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
A New Multiwavelet-Based Approach to Image Fusion
Journal of Mathematical Imaging and Vision
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
Construction for a class of interpolation multiscaling functions with dilation factor a≥3
Computers & Mathematics with Applications
Odd-length armlets with flipping property and its application in image compression
Expert Systems with Applications: An International Journal
Content-based image database system for epilepsy
Computer Methods and Programs in Biomedicine
Researches into orthogonal multivariate wavelet packets with finite support
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Image watermarking method in multiwavelet domain based on support vector machines
Journal of Systems and Software
Expert Systems with Applications: An International Journal
A machine learning system for identifying hypertrophy in histopathology images
AICS'09 Proceedings of the 20th Irish conference on Artificial intelligence and cognitive science
Construction of a class of compactly supported biorthogonal multiple vector-valued wavelets
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part II
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The pyramid algorithm for computing single wavelet transform coefficients is well known. The pyramid algorithm can be implemented by using tree-structured multirate filter banks. The authors propose a general algorithm to compute multiwavelet transform coefficients by adding proper premultirate filter banks before the vector filter banks that generate multiwavelets. The proposed algorithm can be thought of as a discrete vector-valued wavelet transform for certain discrete-time vector-valued signals. The proposed algorithm can be also thought of as a discrete multiwavelet transform for discrete-time signals. The authors then present some numerical experiments to illustrate the performance of the algorithm, which indicates that the energy compaction for discrete multiwavelet transforms may be better than the one for conventional discrete wavelet transforms