Compact Image Representation by Edge Primitives

Abstract

Bandpassed images, commonly used for edge detection, also retain information about intensities between the edge boundaries. Using the familiar Laplacian-of-Gaussian as a bandpass filter, we present a method to extract and code the edge-associated information (edge primitives) and recover an image representation with high structural fidelity. We demonstrate that the edge-primitives representation is compact and therefore can be coded with high compression ratios.