Unsupervised image compression using graphcut texture synthesis

Authors:
Stephen Ierodiaconou;James Byrne;David R. Bull;David Redmill;Paul Hill
Affiliations:
Department of Electrical and Electronic Engineering, University of Bristol, Bristol, UK;Department of Electrical and Electronic Engineering, University of Bristol, Bristol, UK;Department of Electrical and Electronic Engineering, University of Bristol, Bristol, UK;Department of Electrical and Electronic Engineering, University of Bristol, Bristol, UK;Department of Electrical and Electronic Engineering, University of Bristol, Bristol, UK
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

Citing 3
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Abstract

An unsupervised image compression-by-synthesis system is proposed utilising wavelet based image segmentation and analysis combined with patch based texture synthesis. High perceptual quality is ensured using an artefact detection algorithm in the encoder loop. EBCOT is used to transform code texture samples and residual image data. Resulting bitrate savings of up to approximately 17% over JPEG2000 for little change in perceptual quality have been shown.