Corpus ID: 15072464

Deriving Appearance Scales

  title={Deriving Appearance Scales},
  author={M. Fairchild and R. L. Heckaman},
  booktitle={Color Imaging Conference},
The concept of color space has come to be an unquestioned threedimensional representation of color stimuli, or color appearance, intended to simplify the relationships among physically measurable attributes of light, mathematical formulae, and human sensations and perceptions. The notion of three-dimensional mathematical spaces as adjuncts for color is often helpful, but perhaps also misleading at times. Color appearance models requiring five or six dimensions to represent color appearance… Expand
Seeing, adapting to, and reproducing the appearance of nature.
The challenges involved in accurately capturing and reproducing optical phenomena observed in nature are reviewed. Expand
Color is not a metric space implications for pattern recognition, machine learning, and computer vision
Using a metric feature space for pattern recognition, data mining, and machine learning greatly simplifies the mathematics because distances are preserved under rotation and translation in featureExpand


The Perception of Color
Where does color come from? Well, you need three things in order for color to exist: an object, an observer (you!), and light. Color originates in light. Sunlight — or white light — as we perceive itExpand
Brighter, more colorful colors and darker, deeper colors based on a theme of brilliance
A methodology for achieving brighter, more colorful colors and deeper, darker colors based on Evans' zero gray (G0) and his concept of brilliance as a percept in color vision was demonstrated and tested psychometrically in media produced under current digital video and digital cinema standards—basically the sRGB set of primaries. Expand
Color Appearance Models
This book is a good overview of the most important and relevant literature regarding color appearance models and offers insight into the preferred solutions. Expand
Scaling Lightness Perception and Differences Above and Below Diffuse White
The results indicate that the existing L* and CIEDE2000-weighting functions approximately predict the trends, but don’t well fit the visual data, so three optimized functions are proposed, including a lightness function, a lightsdifference weighting function for the wide range, and aLightness-difference Weighting functions for the range below diffuse white. Expand
Brightness function: effects of adaptation.
The method of magnitude estimation was used to investigate how the level of adaptation affects the power function relating brightness to luminance, and the results are described by the equation ψ=k(L−L0)β, when ψ is brightness, L luminance and L0 the absolute threshold. Expand
Transformation of NCS data into CIELAB colour space
The data for the Natural Colour System (NCS) were transformed to the CIE 1976 (L*, a*, b*) system (CIELAB). The transformation involved taking the CIE tristimulus values of the nominal NCS notations,Expand
The senses.
The traditionally recognized definition of the human senses goes back to Aristotle, but from the perspectives of science and cultural traditions, many more senses can be defined. Expand
Sensation and Perception.—I
VERY different meanings have been attached to the words sensation and perception by different writers; and this diversity of meaning is to be met with in physiological as well as in more strictlyExpand
Introduction to Color
With the introduction during the past few years of greatly simplified color-print chemistry and affordable processing equipment, there has been a phenomenal increase in interest in color printing.Expand
Is There Really Such a Thing as Color Space? Foundation of Uni-Dimensional Appearance Spaces
  • ISCC/IS&T/SID Special Topics Meeting Revisiting Color Spaces
  • 2011