Masking Effects Induced by Perceptual Colour Components

Abstract

Signals from the three types of cone photoreceptors are generally thought to be combined into two opponent-colour components and an achromatic component. Here we have chosen the cardinal directions Ach (achromatic axis), Cr1 (reddish - greenish axis) and Cr2 (bluish - yellowish axis) defined by Krauskopf to build a colour image coding scheme based on features of the human visual system. In order to design the optimal perceptual quantisers, we studied the perception of colour at different spatial frequencies, measuring the effect of a colour masking signal on the perception threshold for achromatic or chromatic sine-wave gratings. Three cases were considered to describe these interactions. First, we measured the masking effect of each colour component by itself. For the two chromatic components, we observed a pedestal effect for low masking contrasts and threshold rises for higher masking contrasts. Second, we studied interactions between the two colour axes. With colour masking signals composed of Cr1 and Cr2 components, thresholds for Cr1 stimuli dropped at low contrasts of the Cr2 component of the masking signal. This effect disappeared for high Cr2 masking contrasts. This was true at all contrasts of the Cr1 component of the masking signal. Thresholds for Cr2 stimuli were not modified by Cr1 masking. Finally, interactions between the chromatic and achromatic components were more complex. We observed a strong modification of the achromatic contrast-sensitivity function when a Cr1 masking sine-wave grating was added. When the achromatic frequency was lower than the colour masking frequency, the threshold rose. However, when the achromatic frequency was higher than the colour masking frequency, there was a significant pedestal effect. The global effect is a shift of the achromatic contrast sensitivity function. With a Cr2 masking signal, no significant modification of the achromatic contrast-sensitivity function was observed.

A coherent computational approach to model bottom-up visual attention

“…The RFs of retinal and LGN cells have a circular structure with a centersurround organization whereas the cortical cells present an elongated RF and respond best to a particular orientation and to a particular spatial frequency. In addition, recent studies [15], [16], [17], [18], [19], [20] have shown that the cortical cell's response can be influenced by stimuli outside their classical RF. These contextual influences are mediated by long-range connections linking cells with nonoverlapping receptive fields.…”

“…During these experiments, the adaptation effects through a mechanism of "desensibilization" [16] were taken into account. While Krauskopf used only a temporal "desensibilization" mechanism, a spatial "desensibilization" mechanism was used here.…”

Color LAR Codec: A Color Image Representation and Compression Scheme Based on Local Resolution Adjustment and Self-Extracting Region Representation

“…Ricco's law shows that the visual perception threshold for a luminance stimulus inside an area is inversely proportional to the dimension of the area. In other words, visual degradations generated by linear quantization of a block [24] are inversely proportional to its size.…”