27 June 2017 Lightness computation by the human visual system
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Abstract
A model of achromatic color computation by the human visual system is presented, which is shown to account in an exact quantitative way for a large body of appearance matching data collected with simple visual displays. The model equations are closely related to those of the original Retinex model of Land and McCann. However, the present model differs in important ways from Land and McCann’s theory in that it invokes additional biological and perceptual mechanisms, including contrast gain control, different inherent neural gains for incremental, and decremental luminance steps, and two types of top-down influence on the perceptual weights applied to local luminance steps in the display: edge classification and spatial integration attentional windowing. Arguments are presented to support the claim that these various visual processes must be instantiated by a particular underlying neural architecture. By pointing to correspondences between the architecture of the model and findings from visual neurophysiology, this paper suggests that edge classification involves a top-down gating of neural edge responses in early visual cortex (cortical areas V1 and/or V2) while spatial integration windowing occurs in cortical area V4 or beyond.
© 2017 SPIE and IS&T
Michael E. Rudd, "Lightness computation by the human visual system," Journal of Electronic Imaging 26(3), 031209 (27 June 2017). https://doi.org/10.1117/1.JEI.26.3.031209 . Submission: Received: 28 October 2016; Accepted: 10 May 2017
Received: 28 October 2016; Accepted: 10 May 2017; Published: 27 June 2017
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