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Wavelet-based image coding using nonlinear interpolative vector quantization

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4 Author(s)
X. Wang ; Dept. of Electr. Eng., Ottawa Univ., Ont. ; E. Chan ; M. K. Mandal ; S. Panchanathan

We propose a reduced complexity wavelet-based image coding technique. Here, 64-D (for three stages of decomposition) vectors are formed by combining appropriate coefficients from the wavelet subimages, 16-D feature vectors are then extracted from the 64-D vectors on which vector quantization (VQ) is performed. At the decoder, 64-D vectors are reconstructed using a nonlinear interpolative technique. The proposed technique has a reduced complexity and has the potential to provide a superior coding performance when the codebook is generated using the training vectors drawn from similar images

Published in:

IEEE Transactions on Image Processing  (Volume:5 ,  Issue: 3 )