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

Performance of various color difference models in challenging regions of CIELAB color space

Buy Article:

$17.00 + tax (Refund Policy)

To examine the performance of a select group of advanced color difference equations against visual color difference data, we report the development of a combined visual dataset consisting of samples in the CIE low and high chroma blue color centers (NCSU-B1 [1] and NCSU-B2 [2]), a recent set of near black samples (NCSU-BK) [3] and a new dataset around a gray center (L* =50.56, a* =-0.11, b* =0.03), hereafter called NCSU-Gr, using the gray scale method. The new gray dataset consisted of 21 matte painted samples, and the visual difference between each of the samples against the standard was assessed by 35 color normal observers under highly controlled viewing and illumination conditions and using the AATCC gray scales, in three separate sittings, and a total of 2205 assessments were obtained. The performance of two groups of color difference equations consisting of: 1- those based on CIELAB color space and 2- those based on more uniform color spaces/appearance model such as DIN, CIECAM02 and OSA, against the visual dataset was examined for the NCSU-Gr, and also for the combined dataset (NCSU-COM). The results show that CIEDE2000 (2:1:1) exhibits the best performance for the NCSU-Gr dataset in comparison to other equations examined. This confirms that the G term in the CIEDE2000 significantly improves its performance in the near neutral gray region. An examination of the performance of the models against the combined dataset, however, shows that the more uniform color space/appearance models produce better results than models based on CIELAB color space, with CAM02-SCD performing significantly better than other equations except CAM02-UCS.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Keywords: CAM02-SCD; COLOR CENTER; COLOR DIFFERENCE; GRAY; STATISTICAL SIGNIFICANCE; VISUAL DATASET

Document Type: Research Article

Publication date: November 3, 2014

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
X
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