Subjective coding of best basis wavelet coefficients for multiresolution analysis

This paper presents a wavelet based image compression algorithm using subjective thresholding and quantization of the wavelet coefficients. subjective compression techniques use the properties of the human visual system (HVS) to eliminate redundant information in an image. By combining the wavelet transform coefficients with psychovisual thresholding and quantization schemes, a coding result of 0.31 bits per pixels has been obtained with weighted PSNR of 39.07 dB.