Classified wavelet transform coding of images using two-channel conjugate vector quantization

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)