Skip to main content
padlock icon - secure page this page is secure

Single Surface Colour Constancy

Buy Article:

$17.00 + tax (Refund Policy)

There are two broad classes of colour constancy algorithms: statistical and physics-based. The former attempt to correlate the statistics of the colours in an image with statistical knowledge about light and surfaces. If there is good colour diversity in a scene then the statistical approach often works well. The latter, physics-based algorithms are founded on an understanding of how physical processes such as specularities and interreflection manifest themselves in images. The theory behind physics-based algorithms is both elegant and powerful. Indeed, colour constancy becomes possible even in scenes with as few as two surfaces. Unfortunately the theory rarely translates into practice; most physics-based algorithms do not work outside the lab.

In this paper we combine both statistical and physical knowledge in a new colour constancy algorithm. First, we observe that, statistically, the chromaticities of most illuminants are tightly clustered around the Planckian locus. Second, we make use of the physics-based dichromatic model of image formation. This model predicts that the chromaticities corresponding to a single convex, uniformly coloured, surface fall along a line in chromaticity space. This line is spanned by the body chromaticity (the colour of the surface) and the interface chromaticity (the colour of the shiny part of the surface i.e. the colour of the light). Simply by intersecting the dichromatic chromaticity line with the illuminant locus our algorithm arrives at an estimate of illumination.

Remarkably, (yet by definition) our algorithm can estimate the colour of the light even when there is just a single surface in a scene (the lowest colour diversity possible). Moreover, and more importantly, experiments on real images demonstrate that estimation accuracy can be very good.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Document Type: Research Article

Publication date: January 1, 1999

More about this publication?
  • CIC is the premier annual technical gathering for scientists, technologists, and engineers working in the areas of color science and systems, and their application to color imaging. Participants represent disciplines ranging from psychophysics, optical physics, image processing, color science to graphic arts, systems engineering, and hardware and software development. While a broad mix of professional interests is the hallmark of these conferences, the focus is color. CICs traditionally offer two days of short courses followed by three days of technical sessions that include three keynotes, an evening lecture, a vibrant interactive (poster) papers session, and workshops. An endearing symbol of the meeting is the Cactus Award, given each year to the author(s) of the best interactive paper; there are also Best Paper and Best Student Paper awards.

    Please note: for Purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual paper for details.

  • Information for Authors
  • Submit a Paper
  • Subscribe to this Title
  • Membership Information
  • Terms & Conditions
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more