Foundations of vision
Foundations of Vision is suitable for courses on vision science in neuroscience, psychology, engineering, or computer science departments, and for upper-level undergraduate and graduate students.
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algorithms area V1 behavioral blurring called Chapter color appearance color-matching experiment color-matching functions columns components computational cone absorptions cone photopigments contrast contrast-sensitivity function convolution convolution kernel cortical cosinusoids curves encoding Equation error estimate experimental fovea frame-buffer harmonic functions human illumination input intensity levels layers lens linear transformation linespread function magnocellular matching experiment measurements methods motion motion perception multiresolution neural image neurons nonlinear objects observer one-dimensional optics orientation output parvocellular perception phosphors photocurrent photons photopigment photoreceptors pixels position predict primary lights properties pyramid receptive fields reflected region represent representation response retinal ganglion cells retinal image S-cones sampling scotopic matching sensitivity shift-invariant short-wavelength shown in Figure shows signal sinusoidal spatial frequency spectral power distribution stimulus superposition surface system matrix temporal test light threshold tion transform coefficients values vector visual angle visual cortex visual pathways visual streams visual system wavelength