Regular Articles

Multiscale image sharpening adaptive to edge profile

[+] Author Affiliations
Hiroaki Kotera

Chiba University, Department of Information and Image Sciences, 1-33 Yayoicho, Inage-ku, Chiba, Japan 263-8522 E-mail: kotera@faculty.chiba-u.jp

Hui Wang

San Diego State University, Department of Computer Science, 5500 Campanile Drive, San Diego, California 92115

J. Electron. Imaging. 14(1), 013002 (Apr. 6, 2005). doi:10.1117/1.1866147
History: Received Dec. 16, 2002; Revised Dec. 30, 2003; Accepted Apr. 8, 2004; Apr. 6, 2005; Online April 07, 2005
Text Size: A A A

The color image has different edge profiles depending on the objects placed in the scene. We propose a novel image-sharpening method adaptive to the local edge slopes with the suppression of background noises. Prescanning the image by a Gaussian derivative (GD) filter, we generate the edge map, which classifies the edge areas to hard, medium, and soft edges, and separates the flat areas without edges. Multiple GD filters with different standard deviations are selectively applied to sharpen each segmented edge area by looking up the edge map. To keep the gray balance, the edge-sharpening filters are applied only to the luminance image. In flat areas except edges, the sharpening filters are resumed and instead, a Gaussian smoothing filter is applied to reduce the background noises. The proposed method brings a dramatic improvement in the reduction of flat-area noises and the natural image-sharpening effects adaptive to the edge slopes. In addition, we newly introduce quality assessment indices to evaluate the image sharpness and flat-area noises with the experimental data. © 2005 SPIE and IS&T.

© 2005 SPIE and IS&T

Citation

Hiroaki Kotera and Hui Wang
"Multiscale image sharpening adaptive to edge profile", J. Electron. Imaging. 14(1), 013002 (Apr. 6, 2005). ; http://dx.doi.org/10.1117/1.1866147


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

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.