Compact representation of images by edge adapted multiscale transforms

13 November 2002

conference paper
Published by Institute of Electrical and Electronics Engineers (IEEE)

Vol. 1, 8-11
https://doi.org/10.1109/icip.2001.958938

Abstract

We introduce new multiscale representations for images which incorporate a specific geometric treatment of edges. The associated transforms are inherently nonlinear and nontensor product, in contrast to classical wavelet basis decompositions over which they exhibit visual improvement in terms of compression. This approach can be viewed as a bridge between edge detection and the nonlinear multiresolution representations of Ami Harten (see Journal of Applied Numerical Mathematics, vol.12, p.153-93, 1993).

Keywords

IMAGE EDGE DETECTION
TENSILE STRESS
IMAGE CODING
IMAGE ANALYSIS
WAVELET TRANSFORMS
AMBIENT INTELLIGENCE
BRIDGES
NOISE REDUCTION
PERFORMANCE ANALYSIS
ELECTRIC SHOCK

This publication has 0 references indexed in Scilit: