What our new Smart Knowledge Engine visualises

1. ‘Digital Colour Brightness’
in ‘True Colour 3D’
A New ‘Generic Yardstick’ for Images and their Content

2. Digital Colour = Device Dependent RGB
A greyscale digital image in photography and computing consists of the
 Numerical representation of intensity in each pixel.
A digital colour image consists of
 Device-dependent values using the RGB model.
Typical RGB input devices are
 TV and video cameras, image scanners, video games
and digital cameras.
Typical RGB output devices are
 TV sets of various technologies (CRT, LCD, plasma, OLED, Quantum-
Dots), computer and mobile phone displays, video projectors,
multicolor LED displays and large screens such as JumboTron.

3. ‘Digital Colour Brightness’ –
the result of re-visualising images
Our Smart Knowledge Engine is ‘work in progress’ [not open for business yet] that
takes any image – independent of scale, technology or application – and visualises
its ‘Digital Colour Brightness’.
These re-visualisations show more depth, detail and structure and offer great
metric advantages and applications.
Digital Colour Brightness is a ‘generic quantification’ with the following qualities:
 Numerical: Red, Green and Blue [RGB] from 0 to 255 or
256 shades of ‘colour brightness’ between Black and White
 Visual: A movable object in ‘virtual 3D’ with peaks, valleys and
varying degrees of structure and detail
 Metric: Weighted with a view to preserve Luminance
and include Illuminance

4. ‘Digital Colour Brightness’ = RGB
+ Luminance + Illuminance
Digital Colour Brightness is a ‘generic quantification’ of the ‘colour space’ with
the following qualities:
 Numerical: Red, Green and Blue [RGB] between 0 and 255 each or
256 shades of ‘colour brightness’ between Black and White.
 Visual: A movable object in ‘virtual 3D’ with peaks, valleys and
varying degrees of structure and detail.
 Metric: Weighted with a view to preserve Luminance and include
Illuminance – different from CMYK which is used for print.
Luminance describes the amount of light that passes through, is emitted
or reflected; measured in candela per square metre.
Illuminance, formerly called Brightness, means light illuminating a surface,
wavelength-weighted by the luminosity function, to correlate with human
brightness perception; measured in lux or lumens per square metre.

5. A Generic Quantification
‘True Colour 3D’ comprises:
 ‘Virtual 3D’: space for a movable object;
 Digital Effects: sliders for ‘highlighting’
with Light and Colour;
 Visual Effects: options for ‘detailing’ structure.
The Nature of ‘Digital Colour Brightness’ is:
 Visual: an image becomes a movable object
to be examined for structure and detail;
 Digital: a slider can ‘attenuate’ peaks and
valleys and a tick box can ‘invert’
Black and White numerically;
 Metric: options for quantifying and automating.

6. ‘Digital Colour Brightness’
in ‘True Colour 3D’
Digital Colour Brightness is a digital value for Red /
Green / Blue, weighted to represent ‘True Colour’ to
the human eye.
Visualised in ‘True Colour 3D’, it complements
SI Units as a ‘generic digital quantification’:
 Luminance measured in Candela / m2 and
 Illuminance measured in Lumens / m2

7. ‘Digital Colour Brightness’
in ‘True Colour 3D’
As a ‘generic quantification’ Digital Colour Brightness invites revisiting the
wave-particle duality of Light, when it passes through 3D bodies
as electromagnetic phenomena:
 Square metres are the reference for
 Luminance and Illuminance
 Wavelengths are the basis for
 The electromagnetic spectrum

8. A ‘Visual Yardstick’
with ‘Pixel Accuracy’
As a ‘digital and visual quantification’ Digital Colour Brightness in True Colour 3D
delivers ‘Pixel Accuracy’.
We could now investigate pixels:
 their size and materials
in displays and screens;
 their treatment
by embedded software.

9. Links and Contact
sabine@3d-metrics.com 07968 039 141
 SmartKnowledge.Space
 A ‘site in progress’
 Smart Knowledge Portals
 The engine as ‘work in progress’ – not open for business yet
 A Blog
 The development of the Smart Knowledge Engine in screenshots
 A YouTube Channel
 Driving the Engine whilst capturing screens on video