000086782 001__ 86782
000086782 005__ 20190316233742.0
000086782 037__ $$aREP_WORK
000086782 245__ $$aEvolutionary Multiresolution Matching Pursuit and its relations with the Human Visual System
000086782 269__ $$a2001
000086782 260__ $$c2001$$aEcublens
000086782 336__ $$aReports
000086782 500__ $$aLTS
000086782 520__ $$aThis paper proposes a multiresolution Matching Pursuit decomposition of natural images. Matching Pursuit is a greedy algorithm that decomposes any signal into a linear expansion of waveforms taken from a redundant dictionary, by iteratively picking the waveform that best matches the input signal. Since the computational cost rapidly grows with the size of the signal, we propose a multiresolution strategy that, together with a dictionary training, significantly reduces the encoding complexity while still providing an efficient representation. Such a decomposition is perceptually very effective at low bit rate coding, thanks to similiarities with the Human Visual System information processing.
000086782 6531_ $$aLTS2
000086782 6531_ $$aLTS4
000086782 700__ $$aFigueras i Ventura, R.
000086782 700__ $$0240428$$g120906$$aVandergheynst, P.
000086782 700__ $$aFrossard, P.$$g101475$$0241061
000086782 8564_ $$uhttps://infoscience.epfl.ch/record/86782/files/Figueras%20i%20Ventura2001_239.pdf$$zn/a$$s111825
000086782 909C0 $$xU10380$$0252392$$pLTS2
000086782 909C0 $$pLTS4$$xU10851$$0252393
000086782 909CO $$qGLOBAL_SET$$pSTI$$preport$$ooai:infoscience.tind.io:86782
000086782 937__ $$aEPFL-REPORT-86782
000086782 970__ $$aFiguerasiVentura2001_239/LTS
000086782 973__ $$sPUBLISHED$$aEPFL
000086782 980__ $$aREPORT