This paper describes the development of an image colourquality model based on individual physical image statistical measures for mobile liquid crystal displays (LCD). Five natural images were colour-rendered in terms of lightness, chroma and hue. Each of the images was displayed on a 2-inch QVGA mobile LCD and assessed by a panel of 10 observers in terms of image quality using a categorical judgment method. Only colour attribute modeling was carried out in this paper. Image statistical measures were established to quantify the image quality of natural colour images varying in colour. Those were memory colour reproduction ratio (MCRR), mean chroma and 95^th percentile lightness. The Pearson correlation between the model predictions and their corresponding psychophysical data was 0.88 and the coefficient of variance was 18. The model outperformed observer accuracy in terms of those two measures. It is also significant that the subjective scale of image quality was bridged with objective metrics such as the image statistical measures.