High quality image compression using the wavelet transform

A simple image compression scheme based on the wavelet transform and properties of the human visual system (HVS) is proposed. The scheme achieves better performance results than those achieved with the well established JPEG compression technique for very high image quality levels. In achieving those results, the wavelet scheme tries to identify the wavelet filter that would result in the smallest number of nonzero coefficients (thus giving a high compression ratio), uses an HVS based processing module to adaptively quantize wavelet coefficients, and efficiently codes the processed wavelet transform. The results show that the scheme outperforms JPEG in terms of the achievable compression ratios, and image quality