A new algorithm for generalized wavelet transform

Authors:
Feng-Qing Han;Li-He Guan;Zheng-Xia Wang
Affiliations:
Chongqing Jiaotong University, Chongqing, China;Chongqing Jiaotong University, Chongqing, China;Chongqing Jiaotong University, Chongqing, China
Venue:
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part I
Year:
2010

Citing 6
Cited 0

A fast spherical filter with uniform resolution

Journal of Computational Physics
The lifting scheme: a construction of second generation wavelets

SIAM Journal on Mathematical Analysis
Generalized discrete spherical harmonic transforms

Journal of Computational Physics
A wavelet-based approach for compressing kernel data in large-scale simulations of 3D integral problems

Computing in Science and Engineering
Nonlinear wavelet image processing: variational problems, compression, and noise removal through wavelet shrinkage

IEEE Transactions on Image Processing
Lossless image compression based on optimal prediction, adaptive lifting, and conditional arithmetic coding

IEEE Transactions on Image Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

In order to enhance the speed of wavelet transform in signal processing, in this paper an accelerative computing theory is elaborated for generalized wavelet transform and the fast lifted wavelet transform from the perspective of the multi-resolution analysis theory The capability of accelerative algorithm is proved in theory Then the accelerative computing procedure for a series of bi-orthogonal Haar wavelet is demonstrated Appling this idea to multi-resolution representation for medical image, the quality of image is retained and the running time is saved effectively.