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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
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Outline Back pocket model of texture segregation Investigating a nonlinearity: IID textures Filling in the missing information Result: Blackshot
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Texture Segregation Luminance EdgeTexture Edge
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The Back Pocket Model
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Application of the Back Pocket Model InputVertically filtered Squared2 nd -Order filtered
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The Back Pocket Model
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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
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IID Textures: The Uniform Histogram
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IID Textures: 1 st -Order Modulator = Brightness
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IID Textures: 2 nd -Order Modulator = Contrast
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Histogram Modulators
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N th -Order, Orthogonal Histogram Modulators Contrast Response 1 7 6 5 4 3 2
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Histogram Contrast Thresholds
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The Result (Chubb et al., 1994): f CEL f CEL : 3 rd - through 7 th -order components
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The New Technique: Tradeoff of 1 or 2 with f CEL 1 or 2 Amplitude f CEL Amplitude 01 1 0 or
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Experimental Details 3 Subjects Carefully linearized lookup table 200 ms display
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Task: 4-AFC Shape Discrimination
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Results: Three Thresholds
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Results: Reconstructed Nonlinearity
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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)
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