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DCT-based codebook design for vector quantization of images

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1 Author(s)
Chaur-Heh Hsieh ; Dept. of Electr. Eng., Chung Cheng Inst. of Technol., Taoyuan, Taiwan

A codebook design algorithm based on a two-dimensional discrete cosine transform (2-D DCT) is presented for vector quantization (VQ) of images. The significant features of training images are extracted by using the 2-D DCT. A codebook is generated by partitioning the training set into a binary tree. Each training vector at a nonterminal node of the binary tree is directed to one of the two descendants by comparing a single feature associated with that node to a threshold. Compared with the pairwise nearest neighbor (PNN) algorithm, the algorithm results in a considerable reduction in computation time and shows better picture quality

Published in:

IEEE Transactions on Circuits and Systems for Video Technology  (Volume:2 ,  Issue: 4 )