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Image Compression with a Geometrical Entropy Coder

Authors: Onur G. Guleryuz; Arthur L. Da Cunha;

Image Compression with a Geometrical Entropy Coder

Abstract

In this paper we propose a geometrical entropy coder to compress images with geometry. Our proposed scheme works on quantized coefficients of the discrete wavelet transform (DWT). The geometry inherent in those coefficients is exploited by means of directional, predictive coding. We accomplish directional prediction with the aid of the coefficients of the undecimated wavelet transform (UDWT), which are estimated from the available DWT ones both at the encoder and decoder. Following directional prediction, a simple entropy coder takes care of the remaining redundancy. The resulting codec attains competitive performance.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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