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 approach. The textual content offers equations for deciding on a number of facets of distinction sensitivity, as well as types (mathematical expressions) which can simply be tailored for functional 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
- impression of nonwhite spatial noise on distinction sensitivity
- distinction discrimination model
- photograph caliber measure
- influence of varied parameters on picture quality
- Curriculum Vitae
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Extra resources for Contrast Sensitivity of the Human Eye and Its Effects on Image Quality
22) The MTF given by this function has nearly the sarne shape as the MF given by Eq. 19). It is shown by the dotted curve in Fig. 2. 251tu0 (1 + 1t2u;r2)JI2 + O S 2 -lt~~r2 . 23) This function describes the receptive field of the inhibition process. Mter the classical DOG rnodel for the lateral inhibition process, a rnodel consisting of a ring of Gaussians has been introduced. See, for instance, Young (1991 ). This model is called DOOG model (difference of offset Gaussians). These Gaussians form together an annular shaped lowpass filter, instead of the continuous Gaussian lowpass filter used in the DOG model.
15). Van Meeteren (1978) found even values of 2% and less by measuring the contrast sensitivity with and without artificial image intensification. He tried to explain the low quantum efficiency by various causes of losses. A part of the light is lost by absorption in the ocular media, another part falis in the interstices between the photo-receptors, a part of the light falling on a photo-receptor is not absorbed, and finally not every absorbed photon causes an excitation. However, van Meeteren could not explain the low quantum efficiency that he measured by an estimate of these losses.
Ln this chapter, a treatment has been given of the psychometric function by which this modulation threshold can be determined in a well-defined way and some methods has been described that are generally used for the measurement of the modulation threshold. It is assumed here that the modulation threshold is caused by noise. The noise consists of internal noise present in the visual system, but can partly also consist of externa! noise present in the observed image. According to the model given here, the modulation threshold is a fixed factor k larger than the average modulation of the noise wave components.