Special Section on Retinex at 40

Retinex processing for automatic image enhancement

[+] Author Affiliations
Zia-ur Rahman

College of William & Mary, Department of Applied Science, Williamsburg, Virginia?23187 E-mail: zrahman@as.wm.edu

Daniel J. Jobson, Glenn A. Woodell

NASA Langley Research Center, Hampton, Virginia?23681

J. Electron. Imaging. 13(1), 100-110 (Jan 01, 2004). doi:10.1117/1.1636183
History: Received Nov. 2, 2002; Revised Aug. 6, 2003; Accepted Aug. 27, 2003; Online March 01, 2004
Text Size: A A A

There has been a revivification of interest in the Retinex computation in the last six or seven years, especially in its use for image enhancement. In his last published concept (1986) for a Retinex computation, Land introduced a center/surround spatial form, which was inspired by the receptive field structures of neurophysiology. With this as our starting point, we develop the Retinex concept into a full scale automatic image enhancement algorithm—the multiscale Retinex with color restoration (MSRCR)—which combines color constancy with local contrast/lightness enhancement to transform digital images into renditions that approach the realism of direct scene observation. Recently, we have been exploring the fundamental scientific questions raised by this form of image processing. 1. Is the linear representation of digital images adequate in visual terms in capturing the wide scene dynamic range? 2. Can visual quality measures using the MSRCR be developed? 3. Is there a canonical, i.e., statistically ideal, visual image? The answers to these questions can serve as the basis for automating visual assessment schemes, which, in turn, are a primitive first step in bringing visual intelligence to computers. © 2004 SPIE and IS&T.

© 2004 SPIE and IS&T

Citation

Zia-ur Rahman ; Daniel J. Jobson and Glenn A. Woodell
"Retinex processing for automatic image enhancement", J. Electron. Imaging. 13(1), 100-110 (Jan 01, 2004). ; http://dx.doi.org/10.1117/1.1636183


Tables

Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

PubMed Articles
Morphological image compositing. IEEE Trans Pattern Anal Mach Intell 2006;28(5):673-83.
Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.