Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

'Digital Colour Brightness' in 'True Colour 3D'

65 views

Published on

What our new Smart Knowledge Engine visualises

Published in: Software
  • Be the first to like this

'Digital Colour Brightness' in 'True Colour 3D'

  1. 1. ‘Digital Colour Brightness’ in ‘True Colour 3D’ A New ‘Generic Yardstick’ for Images and their Content
  2. 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. 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. 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. 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. 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. 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. 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. 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

×