Abstract
In this correspondence, 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.
Original language | English (US) |
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Pages (from-to) | 518-522 |
Number of pages | 5 |
Journal | IEEE Transactions on Image Processing |
Volume | 5 |
Issue number | 3 |
DOIs | |
State | Published - 1996 |
Externally published | Yes |
ASJC Scopus subject areas
- Software
- Computer Graphics and Computer-Aided Design