Lattice vector quantization approach to image coding

Iole Moccagatta; Murat Kunt

doi:10.1117/12.131461

1 November 1992 Lattice vector quantization approach to image coding

Iole Moccagatta, Murat Kunt

Proceedings Volume 1818, Visual Communications and Image Processing '92; (1992) https://doi.org/10.1117/12.131461
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States

Abstract

In this paper we present an image coding technique which applies a lattice quantizer on the coefficient domain generated by a Gabor-like wavelet transform. The spatial correlation is reduced by this perceptual subband/wavelet transform with efficient implementation. Due to its visual significance, the DC component is PCM coded. The coefficients are then quantized by a block quantizer whose points lie on a lattice, followed by ideal entropy coding. Different truncated lattices have been tested, namely A_n, D_n, and E₈. Simulation results using grayscale images have shown good performance for bit rates lower than 0.5 bits/pixel when the truncated lattice D₁₆ is used.

Citation Download Citation

Iole Moccagatta and Murat Kunt "Lattice vector quantization approach to image coding", Proc. SPIE 1818, Visual Communications and Image Processing '92, (1 November 1992); https://doi.org/10.1117/12.131461

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