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7.3. BLINDS AND COLORS

Lecture



The first step in creating an image reproduction fidelity criterion is to introduce a metric to quantify the perceived differences in brightness, color tone, and saturation of a point light source. There are two types of measures for differences in the characteristics of light: global and local. Global measures are suitable for describing the properties of any light sources, regardless of the specific features of the perception of this light. Local measures characterize only small changes in the parameters describing light sensations.

7.3.1. LIGHT BLINDS METRICS

Consider a source of white light   7.3.  BLINDS AND COLORS having brightness   7.3.  BLINDS AND COLORS and located in close proximity to the second white light source   7.3.  BLINDS AND COLORS having the same emission spectrum and brightness   7.3.  BLINDS AND COLORS . Measurements of contrast sensitivity, described in Sec. 2.3, showed that the ratio of Weber   7.3.  BLINDS AND COLORS i.e. the ratio of the barely noticeable (threshold) difference in brightness to the absolute value of brightness   7.3.  BLINDS AND COLORS in a fairly wide range of values   7.3.  BLINDS AND COLORS almost constant and equal to 1-2%. On this basis, it can be argued that the increment of lightness of the second source relative to the first should be determined by the logarithmic expression

  7.3.  BLINDS AND COLORS . (7.3.1)

not the difference in brightness   7.3.  BLINDS AND COLORS . Since the differential logarithm of brightness is

  7.3.  BLINDS AND COLORS , (7.3.2)

then the increment of the logarithm of brightness is equal to the ratio of Weber. Manne and Sukrison [2] studied the possibility of measuring the fidelity of reproducing monochrome images using the relation (2.4.8). In this case, the measure of the increment of lightness becomes

  7.3.  BLINDS AND COLORS , (7.3.3)

Where   7.3.  BLINDS AND COLORS -constant. In Kornsvit's work [12], it was suggested that the response of retinal photoreceptors is described by a non-linear law (2.4.7). Then the corresponding measure of lightness increment

  7.3.  BLINDS AND COLORS , (7.3.4)

Where   7.3.  BLINDS AND COLORS and   7.3.  BLINDS AND COLORS - permanent.

Measures (7.3.1), (7.3.3) and (7.3.4) relate to local measures of lightness change. Often used and global measures that are used to compare the brightness of very different light sources. Such measures were obtained on the basis of empirical models built on experimental material. In fig. 7.3.1 shows the graphs of lightness   7.3.  BLINDS AND COLORS from the brightness of the white light source. Priest, Gibsoi and McNicols [13] suggested a simple correlation

  7.3.  BLINDS AND COLORS , (7.3.5)

where brightness is measured as a percentage   7.3.  BLINDS AND COLORS and lightness varies from 0 to 10. Ladd and Pinney [14] used the scale with a cubic root

  7.3.  BLINDS AND COLORS , (7.3.6)

where brightness is also measured in percent. In addition to these dependencies, Foss [15] introduced a logarithmic scale:

  7.3.  BLINDS AND COLORS . (7.3.7)

  7.3.  BLINDS AND COLORS

Fig. 7.3.1. Lightness scales.

The difference between the three curves shown in Fig. 7.3.1, mainly due to the difference in the levels of background illumination used in the respective experiments [16, p. 453]. Judd [17] introduced the lightness scale, which takes into account the level of background lighting.   7.3.  BLINDS AND COLORS . In this case, the lightness is determined by the expression

  7.3.  BLINDS AND COLORS . (7.3.8)

It is interesting to note that the Judd empirical scale is similar in its form to relation (2.4.7) describing the nonlinear model of retinal photoreceptor response.


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Digital image processing

Terms: Digital image processing