Exploring V1 by modeling the perceptual quality of images.
We propose an image quality model based on phase and amplitude differences between a reference and a distorted image. The proposed model is motivated by the fact that polar representations can separate visual information in a more independent and efficient manner than Cartesian representations in the primary visual cortex (V1). We subsequently estimate the model parameters from a large subjective data set using maximum likelihood methods. By comparing the various model hypotheses on the functional form about the phase and amplitude, we find that: (a) discrimination of visual orientation is important for quality assessment and yet a coarse level of such discrimination seems sufficient; and (b) a product-based amplitude-phase combination before pooling is effective, suggesting an interesting viewpoint about the functional structure of the simple cells and complex cells in V1.
Image and Visual Computing Lab, Lenovo Group, Ltd., Hong Kong SAR, China.
Fan
F
Zhang
Wenfei
W
Jiang
Florent
F
Autrusseau
Weisi
W
Lin
D004192:Discrimination, Psychological; D006801:Humans; D016015:Logistic Models; D009949:Orientation / Q000502:physiology; D014793:Visual Cortex / Q000502:physiology*; D014796:Visual Perception / Q000502:physiology*
additive log-logistic model; computations model of V1; image quality assessment; independent subspace analysis; phase