Subband coding of images using vector quantization

P.H. Westerink, D.E. Boekee, J. Biemond, J.W. Woods
1988 IEEE Transactions on Communications  
Subband coding has proven to be a powerful technique for medium bandwidth source encoding of speech. Recently, some promising results have been reported on the extension of this concept to the source coding of images. In this paper, a new two-dimensional subband coding technique is presented which is also applied to images. A frequency band decomposition of the image is carried out by means of 2-D separable quadrature mirror filters, which split the image spectrum into 16 equal rate subbands.
more » ... al rate subbands. These 16 parallel subband signals are regarded as a 16-dimensional vector source and coded as such using vector quantization. In the asymptotic case of high bit rates, a theoretical analysis yields a lower bound to the gain that is attainable by choosing this approach over scalar quantization of each subband with an optimal bit allocation. It is shown that vector quantization in this scheme has several advantages over coding the subbands separately. Experimental results are given and comparisons are made between the new technique presented here and some other coding techniques. This new subband coding scheme has a performance which is comparable to other more complex coding techniques. Paper approved by the Editor for Image Processing of the IEEE Communications Society.
doi:10.1109/26.2791 fatcat:in62tkfudjcvvdgzndkrhvcmvq