In this paper, we propose a new coding scheme for image compression using classified two-channel conjugate vector quantization (TC-CVQ) of the wavelet coefficients. This scheme exploits residual correlation among different layers of the discrete wavelet transform (DWT) domain and improves the encoding efficiency. In addition, two-channel conjugate VQ requires less computational complexity and less storage (memory). Simulation results show that the reconstructed images preserve fine and pleasant qualities based on both subjective and mean square error criteria at a bit rate of 0.3 bit/pel(bpp).<>
Classified wavelet transform coding of images using two-channel conjugate vector quantization
Proceedings of 1st International Conference on Image Processing ; 3 ; 363-367 vol.3
1994-01-01
501927 byte
Conference paper
Electronic Resource
English
Classified Wavelet Transform Coding of Images using Two-Channel Conjugate Vector Quantization
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