Entropy-Based Distortion Measure for Image Coding

Classical quality criteria for image coding are based on the mean square error. We investigate here the properties of a distortion measure based on differential entropy of the error signal. The proposed measure leads to an interesting alternative code design criterion. An adapted bit allocation algorithm is proposed in order to take advantage of this criterion. Experimental results illustrate the behavior of the proposed distortion measure and exhibit interesting psycho-visual properties.