Low bit rate image coding technique using human visual system model and homomorphic processing

Abstract

A low bit rate image coding scheme which incorporates the Homomorphic property of image, Transform Coding, Vector Quantization and Human Visual System model is described. Experimental results indicate that reasonably good reconstructed images are obtained at around 0.2 to 0.25 bits per pixel dependent on the nature of the images.