Model-Based Multi-Stage Compression of Human Face Images

Authors:
Affiliations:
Venue:
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Year:
1998

Citing 4
Cited 1

Vector quantization and signal compression

Vector quantization and signal compression
Feature extraction from faces using deformable templates

International Journal of Computer Vision
An introduction to wavelets

An introduction to wavelets
Multiresolution Signal Decomposition: Transforms, Subbands, and Wavelets

Multiresolution Signal Decomposition: Transforms, Subbands, and Wavelets

Compression of facial images using the K-SVD algorithm

Journal of Visual Communication and Image Representation

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Abstract

This paper describes a multi-stage compression scheme of human face images. Snakes are employed in localisation of facial features and biorthogonal spline filters are used for the decomposition of segmented and normalised face images. Wavelet coefficients are vector quantized in different number of cascaded stages depending on their contribution to the subjective quality of the image.