Regular Articles

Spatial-gradient-local-inhomogeneity: an efficient image-denoising prior

[+] Author Affiliations
Cheolkon Jung

Xidian University, Key Lab of Intelligent Perception and Image Understanding of Ministry of Education of China, Institute of Intelligent Information Processing, Xi’an 710071, China

Licheng Jiao

Xidian University, Key Lab of Intelligent Perception and Image Understanding of Ministry of Education of China, Institute of Intelligent Information Processing, Xi’an 710071, China

Hyungseok Kim

Sungkyunkwan University, School of Information and Communication Engineering, Suwon 440-746, South Korea

Joongkyu Kim

Sungkyunkwan University, School of Information and Communication Engineering, Suwon 440-746, South Korea

J. Electron. Imaging. 19(3), 033005 (August 13, 2010). doi:10.1117/1.3466800
History: Received November 17, 2009; Revised May 27, 2010; Accepted June 10, 2010; Published August 13, 2010; Online August 13, 2010
Text Size: A A A

We provide an efficient image-denoising prior, spatial-gradient-local-inhomogeneity (SGLI), which can be successfully applied to image reconstruction. The SGLI prior employs two complementary discontinuity measures: spatial gradient and local inhomogeneity. The spatial gradient measures effectively preserves strong edge components of images, while the local inhomogeneity measure successfully detects locations of the significant discontinuities considering uniformity of small regions. The two complementary measures are elaborately combined into the SGLI prior for image denoising. Thus, the SGLI prior effectively preserves feature components such as edges and textures of images while reducing noise. Comparative results indicate that the proposed SGLI prior is very effective in dealing with the image denoising problem from corrupted images.

Figures in this Article
© 2010 SPIE and IS&T

Citation

Cheolkon Jung ; Licheng Jiao ; Hyungseok Kim and Joongkyu Kim
"Spatial-gradient-local-inhomogeneity: an efficient image-denoising prior", J. Electron. Imaging. 19(3), 033005 (August 13, 2010). ; http://dx.doi.org/10.1117/1.3466800


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.

Topic Collections

PubMed Articles
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.