Multilevel scalable compression system based on RWT

Authors:
F. A. Perez;P. M. Iriondo;D. Orive-revillas;I. Calvo-Gordillo
Affiliations:
Faculty of Engineering, The University of the Basque Country UPV-EHU, Bilbao, Spain;Faculty of Engineering, The University of the Basque Country UPV-EHU, Bilbao, Spain;Faculty of Engineering, The University of the Basque Country UPV-EHU, Bilbao, Spain;Faculty of Engineering, The University of the Basque Country UPV-EHU, Bilbao, Spain
Venue:
ICCOMP'07 Proceedings of the 11th WSEAS International Conference on Computers
Year:
2007

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Abstract

Scalable coding is a technology that encodes a bitstream in a scalable way allowing the extraction of different representations to fit best to a diverse range of applications. This paper presents an image codification system based on the wavelet reversible transform with multilevel scalable capacity. Two types of scalability methods are discussed: One spatial and another FGS (Fine Grain Scalability). The proposed codification system permits both lossy and lossless compression by using finite arithmetic reversible transforms. The codification method is based on subcomponents (CFDS) and generates a highly scalable final bit stream which is embedded and adapts to the size of the binary stream by using truncation. The method of segment rearrangement presented in this work permits a substantial improvement over the truncated mechanism. This mechanism allows the possibility of consistent both analytic and perceptual scalability. Moreover, this scalable method allows a direct FGS compression without the necessity of a decoder in the codification section.