Multilayered image representation: application to image compression

Abstract--The main contribution of this work is a new paradigm for image representation and image compression. We describe a new multilayered representation technique for images. An image is parsed into a superposition of coherent layers: piecewise smooth regions layer, textures layer, etc. The multilayered decomposition algorithm consists in a cascade of compressions applied successively to the image itself and to the residuals that resulted from the previous compressions. During each iteration of the algorithm, we code the residual part in a lossy way: we only retain the most significant structures of the residual part, which results in a sparse representation. Each layer is encoded independently with a different transform, or basis, at a different bitrate, and the combination of the compressed layers can always be reconstructed in a meaningful way. The strength of the multilayer approach comes from the fact that different sets of basis functions complement each others: some of the b...

• Type: Journal
• Year: 2002
• Where: TIP
• Authors: François G. Meyer, Amir Averbuch, Ronald R. Coifman
• Keywords: Image, Multilayered Decomposition Algorithm, Multilayered Representation Technique, TIP 2002