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Discover the unexpected depth of human perception in analyzing textures with the Blackshot model. Research uncovers a novel nonlinearity in contrast perception.
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Blackshot: An Unexpected Dimension of Human Sensitivity to Contrast Michael S. Landy New York University Charles Chubb University of California, Irvine John Econopouly
Outline • Back pocket model of texture segregation • Investigating a nonlinearity: IID textures • Filling in the missing information • Result: Blackshot
Texture Segregation Luminance Edge Texture Edge
Application of the Back Pocket Model Input Vertically filtered Squared 2nd-Order filtered
How to Measure the Nonlinearity • Simple case: Independent, Identically Distributed (IID) textures • Appearance indicates at least two channels or nonlinearities: perceived brightness and contrast • Technique: Histogram Contrast Analysis (Chubb, Econopouly & Landy, 1994) • Result: a third perceptual dimension
Nth-Order, Orthogonal Histogram Modulators 1 2 3 4 5 6 7 Response Contrast
The Result (Chubb et al., 1994): fCEL fCEL: 3rd- through 7th-order components
The New Technique: Tradeoff of 1 or 2 with fCEL 1 fCELAmplitude 0 or or -1 0 1 1 or 2Amplitude
Experimental Details • 3 Subjects • Carefully linearized lookup table • 200 ms display
Conclusions • Full measurement of a novel nonlinearity • Blackshot: Exquisite sensitivity to the darkest texels • Thus, 3 dimensions of IID texture appearance: brightness, contrast and blackshot • A striking precedent: Whittle (1986)