Model-based multi-stage compression of human face images
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.