Diamond Calculator
Diamond 3D Book
Educational Programs
Testing Laboratory
Diamond Cut Study
Introduction
Recent achievements
Building of cut grading system
Work with scanned diamond models
Example with tilted table
BLResponses
Analysis of illumination
GIA's illumination model
"Brill" software analyses light response
WLR metric and brilliance
Example with mirrors
An observer model
Understanding of brilliance
Practical value of the cut grading system
Acknowledgment
References
  If we continue splitting the mirror in the same way, LRGIA will remain constant and equal to LRGIA0, while the oscillations WLRGIA will become weaker and weaker. At the same time, the expectancy of BR will first reach its maximum, then will start decreasing, and finally will become zero (the authors suppose that the brilliance of a ground-glass surface is zero). This is because the light flux directed towards the observer's eyes will be reduced when the size of the mirror portions is less than 3 mm (starting from the second stage of splitting the mirror). So, unlike the first splitting stage, the brightness of the lamp images decreases as their number increases. In other words, starting from a certain splitting stage, BR decreases due to contrast lowering at constant LRMSU.

Thus, we have shown that the coefficients used at GIA absolutely do not correlate with the BR coefficient defined intuitively. Moreover, in our imaginary experiment these coefficients almost do not change, while BR changes strongly (first increases and then falls down to almost zero). This example illustrates that the WLR coefficient principally differs from the brilliance, and that WLR measurements do not allow one to study the brilliance. This experiment also shows that the LRMSU coefficient does not correlate with the brilliance as well. However, a multiplicative function of the image contrast and the LRMSU coefficient can be used as a good approximation of the brilliance.

The example considered above is not abstract or far-fetched. It describes rather adequately the brilliance phenomenon perceived by a man looking at a diamond. When no dispersion occurs in the diamond (for example, if the illumination is monochromatic), it acts like a plurality of tiny mirrors. Thus, although the split mirror model is quite simple, it allows us to introduce a correct and adequate definition of primary brilliance.

 
  An observer model  
  The human eye has a pupil whose typical diameter is about 4 mm. This diameter may change, depending on the conditions of illumination. All the light entering the eye passes through the pupil. If the eye looks directly at a light source, the brightness of the source image formed on the retina is independent of the distance between the eye and the source, provided that the size of this image exceeds the effective size of a cluster of visual receptors in the retina. If there is an object, such as a diamond, between the eye and the source, its elementary prisms act as additional diaphragms. As a result, the light passed through such a prism may produce a source image with a considerably reduced brightness. The action of the elementary prisms depends on their size: a large prism almost does not reduce the image brightness, while a very small prism may produce such a dim image that the eye fail to identify it as a separate object.

Accordingly, the following question arises: What are the optimum source size, distances between the objects, and the diamond cut, which make the observer see many bright and colored images of the source? (The brightness corresponds to the brilliance of the diamond, while the coloration corresponds to its fire).

Click to enlarge picture
 
Fig.6. Diamond facet as additional diaphragm for light source

The sizes of the elementary prisms depend on their quantity, the size of the stone, and the arrangement of its facets. Studying this problem allows one to determine the optimum combination of a light source and facet dimensions by numerical calculations. The interrelation between the source, one of the facets, and the eye pupil is illustrated at Fig. 6. In other words, if the light emitted by the source falls on a stone with few large facets, the stone produces few intense light beams; and if the light falls on a stone with many small facets, the stone produces many weak beams. When the number of the facets is large enough, the intensity of each of these beams tends to zero.

It is important to make a diamond grading model adequate not only from the viewpoint of geometrical optics but also from the viewpoint of the psychophysiological features of human perception. When studying the fire, the GIA group uses the following steps:

Empirical determination of a threshold for the intensity of the minimum signal (page 184 of "Modeling the Appearance…").

The use of an intensity smoothing function (let me cite a phrase contained on page 183 of "Modeling the Appearance…": "…Thus, rather than use the intensity directly, we "smoothed" it with an "S-shaped" function…" )

We think that at this stage of their studies the GIA group faced the problem of mathematically modeling such phenomena as «subjective brightness» and «subjective size of a highlight». These phenomena are due to the fact that a man perceives light intensity as subjective brightness and subjectively senses the size of a highlight. Some studies on the subjective brightness can be found in literature (section 6.3 «Brightness and Lightness scales», pp. 493-499, in "Color Science. Concepts and Methods, Quantitative Data and Formulae" by G. Wyszecki and W.S. Stiles, 2000).

The GIA group uses the area of a highlight as a measure of its subjective size, while the human brain primarily responds to the linear size of an object.
Of course, these problems have not been completely solved in the literature cited, but the material published there convinces one that the experimental data can be fitted by functions that are essentially different from those used at GIA.

Note: approach used in this article

So far we used a language such as facets, prisms, ray paths, mirrors,
reflections, and so on. This language is useful for understanding and
explaining various phenomena, and many researches uses this language when
analyzing and quantitatively describing these phenomena. However, it is
very difficult to characterize the considered phenomena with maximum adequacy, if using these concepts.

Therefore, researchers introduce some assumptions and simplifications,
consider only selected phenomena, which leads to considerable distortion
(simplification) of the final results. That's why we have chosen another
way and try to analyze the resultant view, as it is seen by the human
eye and perceived by the human brain. And we use software to model all
the objects involved, including the light source, diamond, and observer.

 
© 2002 Sergey Sivovolenko, Yuri Shelementiev, Vladimir Onischuk, Garry Holloway