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IEEE TRANSACTIONS ON IMAGE PROCESSING 1 Multi-layered Image Representation
 

Summary: IEEE TRANSACTIONS ON IMAGE PROCESSING 1
Multi-layered Image Representation :
Application to Image Compression
Franc¸ois G. Meyer, Member, IEEE, Amir Z. Averbuch, Ronald R. Coifman
Abstract-- The main contribution of this work is a new paradigm
for image representation and image compression. We describe a new
multi-layered representation technique for images. An image is parsed
into a superposition of coherent layers: piecewise smooth regions
layer, textures layer, etc. The multi-layered decomposition algorithm
consists in a cascade of compressions applied successively to the im-
age itself and to the residuals that resulted from the previous com-
pressions. During each iteration of the algorithm, we code the resid-
ual 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
multi-layer approach comes from the fact that different sets of basis
functions complement each others: some of the basis functions will
give reasonable account of the large trend of the data, while others

  

Source: Averbuch, Amir - School of Computer Science, Tel Aviv University

 

Collections: Computer Technologies and Information Sciences