title: Wavelet-based image coding using nonlinear interpolative vector quantization.
abstract: 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.
authors.affiliation: Dept. of Electr. Eng., Ottawa Univ., Ont.
authors.forename: X
authors.initials: X
authors.lastname: Wang
authors.forename: E
authors.initials: E
authors.lastname: Chan
authors.forename: M K
authors.initials: MK
authors.lastname: Mandal
authors.forename: S
authors.initials: S
authors.lastname: Panchanathan