Image Compression with a Geometrical Entropy Coder

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 direc...

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Bibliographic Details
Published in:2006 International Conference on Image Processing pp. 1161 - 1164
Main Authors: Guleryuz, O. G., da Cunha, A. L.
Format: Conference Proceeding
Language:English
Published: IEEE 01.10.2006
Subjects:
Codecs
Compression algorithms
Decoding
Discrete wavelet transforms
Entropy
Entropy codes
Geometry
Image coding
Image storage
Prediction methods
Quadtrees
Transform coding
Wavelet transforms
ISBN:9781424404803, 1424404800
ISSN:1522-4880
Online Access:Get full text
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Summary: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.
ISBN:9781424404803
1424404800
ISSN:1522-4880
DOI:10.1109/ICIP.2006.312763