Optimal spline interpolation for image compression

G - Physics – 06 – K

Patent

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G06K 9/36 (2006.01) G06K 9/46 (2006.01) G06T 9/00 (2006.01)

Patent

CA 2195111

A computationally fast, effective method for compressing digital images uses an optimized subsampling process. A set of spatially overlapping spline functions (1014) is used as a basis onto which the image data (1012) are projected by use of a least-mean-squares criterion. The specified processes can be implemented for compressing and interpolating digital data arrays of N dimensions. Linear, planar and hyperplanar spline functions allow convenient, fast and efficient closed-form optimal compression, which process is easily incorporated into existing digital processing systems. A key advantage of the disclosed method is the fast coding/reconstruction speed, because it involves only FFT or convolution types of processors.

L'invention traite d'un procédé informatisé, rapide et efficace pour comprimer des images numériques à l'aide d'un processus de sous-échantillonnage optimisé. Un ensemble de fonctions pistolets (1014) se chevauchant dans l'espace est utilisé comme base sur laquelle sont projetées des données d'images (1012) à l'aide d'un critère d'erreur quadratique moyenne. Les processus décrits peuvent être mis en oeuvre pour comprimer et interpoler des ensembles de données numériques de dimensions N. Des fonctions pistolets linéaires, planes et hyperplanes assurent une compression rapide et efficace en boucle fermée optimale. Ce processus peut être facilement intégré dans les systèmes de traitement numériques existants. Un avantage majeur du procédé décrit est la vitesse de reconstruction/codage rapide, car elle n'implique que la transformée de Fourier accélérée ou des types de convolution de processeurs.

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