Title :
Hybrid vector quantization for multiresolution image coding
Author :
Rinaldo, Roberto ; Calvagno, Giancarlo
Author_Institution :
Dipt. di Elettronica e Inf., Padova Univ., Italy
fDate :
5/1/1997 12:00:00 AM
Abstract :
In this correspondence, we propose a coding scheme that exploits the redundancy of the multiresolution representation of images, in that blocks in one subimage are predicted from blocks of the adjacent lower resolution subimage with the same orientation. The pool of blocks used for prediction of a given subband plays the role of a codebook that is built from vectors of coefficients inside the subband decomposition itself. Whenever the prediction procedure does not give satisfactory results with respect to a target quality, the block coefficients are quantized using a geometric vector quantizer for a Laplacian source
Keywords :
image coding; image representation; image resolution; prediction theory; redundancy; vector quantisation; Laplacian source; adjacent lower resolution subimage; block coefficients; geometric vector quantizer; hybrid vector quantization; image representation; multiresolution image coding; orientation; prediction procedure; redundancy; subband decomposition; Computer vision; Filters; Gaussian noise; Image coding; Image edge detection; Image resolution; Noise reduction; Signal resolution; Spatial resolution; Vector quantization;
Journal_Title :
Image Processing, IEEE Transactions on