Title :
Non-Geometric Energy Formulation for Adaptive Image Compression
Author :
Le Guen, Benjamin ; Pateux, Stéphane ; Weiss, Jacques
Author_Institution :
France Telecom R&D, Cesson-Sevigne
fDate :
Sept. 16 2007-Oct. 19 2007
Abstract :
This paper proposes a new adaptive scheme to cope with the limits of the conventional 2D wavelet. The principle is to search for the warped version of the original image which is best adapted to this isotropic kernel. Unlike most prior works, the scheme does not rely on geometry detection or exhaustive search for the best local directions. It formulates a Description Length of the warped Image which does not depend on any a priori about geometry. We demonstrate that its minimization can be compared to a motion estimation between two frames. The warped image can then be efficiently coded by any conventional wavelet coder. An application is presented where the warping is modelized by a regular 2D-mesh. At low rates, results show a significant reduction of ringing artefacts compared to JPEG2K.
Keywords :
computational geometry; data compression; image coding; wavelet transforms; JPEG2K standard; adaptive image compression; conventional 2D wavelet coder; geometry detection; image warping; nongeometric energy formulation; regular 2D-mesh; Anisotropic magnetoresistance; Assembly; Dictionaries; Geometry; Image coding; Image segmentation; Kernel; Motion estimation; Research and development; Adaptive Compression; Mesh; Wavelet;
Conference_Titel :
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-1437-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2007.4379979