000086962 001__ 86962
000086962 005__ 20190316233744.0
000086962 037__ $$aCONF
000086962 245__ $$aHigh flexibility scalable image coding
000086962 269__ $$a2003
000086962 260__ $$bSPIE$$c2003
000086962 336__ $$aConference Papers
000086962 520__ $$aThis paper presents a new, highly flexible, scalable image coder based on a Matching Pursuit expansion. The dictionary of atoms is built by translation, rotation and anisotropic refinement of gaussian functions, in order to efficiently capture edges in natural images. In the same time, the dictionary is invariant under isotropic scaling, which interestingly leads to very simple spatial resizing operations. It is shown that the proposed scheme compares to state-of-the-art coders when the compressed image is transcoded to a lower (octave-based) spatial resolution. In contrary to common compression formats, our bit-stream can moreover easily and efficiently be decoded at any spatial resolution, even with irrational re-scaling factors. In the same time, the Matching Pursuit algorithm provides an intrinsically progressive stream. This worthy feature allows for easy rate filtering operations, where the least important atoms are simply discarded to fit restrictive bandwidth constraints. Our scheme is finally shown to favorably compare to state-of-the-art progressive coders for moderate to quite important rate reductions.
000086962 6531_ $$aLTS2
000086962 6531_ $$aLTS4
000086962 700__ $$0241061$$g101475$$aFrossard, P.
000086962 700__ $$g120906$$aVandergheynst, P.$$0240428
000086962 700__ $$aFigueras i Ventura, R.
000086962 773__ $$tProceedings of the SPIE VCIP Conference
000086962 8564_ $$uhttps://infoscience.epfl.ch/record/86962/files/2003_28.pdf$$zn/a$$s256402
000086962 909C0 $$xU10380$$0252392$$pLTS2
000086962 909C0 $$pLTS4$$xU10851$$0252393
000086962 909CO $$qGLOBAL_SET$$pconf$$pSTI$$ooai:infoscience.tind.io:86962
000086962 937__ $$aEPFL-CONF-86962
000086962 970__ $$a2003_28/LTS
000086962 973__ $$sPUBLISHED$$aEPFL
000086962 980__ $$aCONF