Visual vector quantization for image compression based on Laplacian pyramid structure

Abstract

In this paper, we propose a new image coding scheme based on the Laplacian pyramid structure (LPS) and the visual vector quantization (VVQ). In this new scheme, the LPS is used to generate the residual image sequence, and the VVQ is used to code these residual images. Comparing with other block-based coding methods, the new scheme has much less blocking effects on the reconstructed image since coding is performed on the basis of hierarchical multiresolution blocks. The new scheme also has an additional advantage of a much lower computational cost over traditional vector quantization (VQ) techniques since encoding and decoding are based on much smaller dimensional 'visual vectors'. Experimental results show that the new scheme can achieve comparable rate distortion performance to that of traditional VQ techniques, while the computational complexity of the new scheme is only a fraction of that of traditional VQ techniques.

More information

Identifiers

Catalogue record

Export record