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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Vydáno v:2006 International Conference on Image Processing s. 1161 - 1164
Hlavní autoři: Guleryuz, O. G., da Cunha, A. L.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.10.2006
Témata:
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
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Shrnutí: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