By Peter G. J. Barten
Examines distinction sensitivity of the human visible system--concerning the eye's skill to differentiate gadgets from one another or from the background--and its results at the image-forming strategy. The textual content offers equations for choosing a variety of elements of distinction sensitivity, as well as versions (mathematical expressions) which may simply be tailored for sensible applications.
- Modulation threshold and noise
- version for the spatial distinction sensitivity of the eye
- Extension of the distinction sensitivity version to extra-foveal vision
- Extension of the distinction sensitivity version to the temporal domain
- impact of nonwhite spatial noise on distinction sensitivity
- distinction discrimination model
- picture caliber measure
- impression of assorted parameters on photo quality
- Curriculum Vitae
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Extra info for Contrast Sensitivity of the Human Eye and Its Effects on Image Quality
1975). Visibility of 1ow-spatial-frequency sine-wave targets dependence on the number of cycles. Journal of the Optical SocietY of America, 65, 343-350. Schade, O. (1956). Optical and photoelectric analog of the eye. Journal oJ the Optical Sociery ofAmerica, 46, 721-739. F. & Julesz, B. (1972). Spatial frequency masking in vision: criticai bands and spread of masking. fournal of the Optical SocietJl ofAmerica, 62, 12211232. P. G. ( 1958). Definitions of d' and TJ as psychophysical measures. Journal of the Acoustical SocietJl of America, 30, 922-928.
75 2 (3 25) (uluo) · This function gives a slightly different desaiption of the MTF of the lateral inhibition process than Eq. 19). The MTF derived from this function is shown by the dashed curve in Fig. 2. Fig. 3 shows a cross-section of the total point-spread function of the eye obtained by a combination of the optical point-spread function of the eye with the point-spread function of the annular lowpass filter given by Eq. 24). The shape of the annular lowpass filter is shown by the dotted curve in this figure, which is plotted with a negative sign to indicate the subtraction made by this filter.
The psychornetric function is sometirnes approxirnated by a Weibull function 12 Chapter 2. 1bis function can be useful in the case that several processes would play a role in the detection process (Quick, 197 4). 632 and p is an exponent that determines the steepness of the psychometric function. This exponent is comparable to the constant k. Sometimes a is used as signal threshold. 7) The slope of the Weibull function for s Eq. 7): = s0 can be calculated from Eq. 8) So whereas the slope of the cumulative probability integral for s from Eqs.