Paper Info
Title
Footprints and edgeprints for image denoising and compression
Abstract
Wavelets have been quite successful in compression or denoising applications. To further improve the performance of wavelet based algorithms, we have recently introduced the notion of footprint, which is a data structure which contains all the wavelet coefficients generated by a discontinuity. The combined use of wavelets and footprints leads to very efficient algorithms for compression and denoising of 1D piecewise smooth signals. We extend some of the previous results by presenting a new denoising algorithm, where footprints are chosen adaptively according to the singularity locations. This new algorithm outperforms previously proposed ones. Then, we introduce the notion of edgeprints, which represents a natural extension of footprints to the two dimensional case. First experimental results on the compression of 2D piecewise smooth signals using edgeprints are promising
Year
DOI
Venue
2001
10.1109/ICIP.2001.958468
Image Processing, 2001. Proceedings. 2001 International Conference
Keywords
Field
DocType
data compression,data structures,image coding,interference suppression,transform coding,wavelet transforms,discontinuity,edgeprints,footprints,image compression,image denoising,singularity locations,wavelets,noise reduction,data structure,compression algorithms,polynomials
Computer vision,Pattern recognition,Non-local means,Computer science,Footprint,Artificial intelligence,Discrete wavelet transform,Data compression,Video denoising,Image compression,Wavelet transform,Wavelet
Conference
Volume
ISBN
Citations 
2
0-7803-6725-1
11
PageRank 
References 
Authors
1.91
2
2
Name
Order
Citations
PageRank
Dragotti, P.L.151239.29
Martin Vetterli2139262397.68