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

A LUT-based Method for Recovering Color Signals from High Dynamic Range Images

Buy Article:

$17.00 + tax (Refund Policy)

This paper describes an effective method for recovering color signals from multiband images of a high dynamic range (HDR) scene. We note that the color signals in a natural scene have the HDR characteristic of luminance level from very dark shadow area to highly bright sky. The Wiener estimator can be used for estimating spectral-power distributions of the color signals from HDR image data. A previous study presented an improved Wiener estimator for addressing accurate color signal estimation in HDR scenes. However, the previous method required the pixel-by-pixel estimation of parameters contained in the Wiener estimator, which resulted in requiring much computation time. For fast computation, therefore, we propose a lookup-table-based (LUT-based) estimation method for color signals in HDR scenes. In the preliminary stage in advance of color signal estimation, we prepare LUT of the statistical matrix needed in the Wiener estimator, consisting of the covariance matrix of color signals and imaging noises. In the stage of color signal estimation, the estimates are obtained pixel by pixel by the Wiener estimator with the most suitable matrix selected from the LUT. For validating the proposed method, experiments are conducted using actual HDR scenes. Experimental results show the superiority of our method in computation time to the previous methods, with keeping estimation accuracy.
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, 2012

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