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We have previously shown how a simple (low-level), physiologically plausible model of achromatic local-contrast discrimination predicts human performance for discriminating between pairs of slightly different morphed pictures (Párraga et al, 2000 Current Biology 10 35-38). The model does a multi-resolution analysis of the two pictures and detects differences in local contrast in each spatial frequency channel. For the present work, we have developed a dichromatic version of the same basic model, which analyses separately the achromatic and chromatic (red-green) representations of pairs of colour images and simply signals which representation produces the largest contrast difference. This limited version of the model is valid only for foveal detection tasks (given the lack of blue cones in the central fovea), and we expect to develop a full-colour version in the near future. To relate model output values to actual …