Image and Signal Processing Methods

Intensity–hue–saturation-based image fusion using iterative linear regression

[+] Author Affiliations
Mufit Cetin, Abdulkadir Tepecik

Yalova University, Department of Computer Engineering, Engineering Faculty, Tigem Campus, Cinarcik Road, Yalova 77100, Turkey

J. Appl. Remote Sens. 10(4), 045019 (Nov 22, 2016). doi:10.1117/1.JRS.10.045019
History: Received May 27, 2016; Accepted November 2, 2016
Text Size: A A A

Abstract.  The image fusion process basically produces a high-resolution image by combining the superior features of a low-resolution spatial image and a high-resolution panchromatic image. Despite its common usage due to its fast computing capability and high sharpening ability, the intensity–hue–saturation (IHS) fusion method may cause some color distortions, especially when a large number of gray value differences exist among the images to be combined. This paper proposes a spatially adaptive IHS (SA-IHS) technique to avoid these distortions by automatically adjusting the exact spatial information to be injected into the multispectral image during the fusion process. The SA-IHS method essentially suppresses the effects of those pixels that cause the spectral distortions by assigning weaker weights to them and avoiding a large number of redundancies on the fused image. The experimental database consists of IKONOS images, and the experimental results both visually and statistically prove the enhancement of the proposed algorithm when compared with the several other IHS-like methods such as IHS, generalized IHS, fast IHS, and generalized adaptive IHS.

Figures in this Article
© 2016 Society of Photo-Optical Instrumentation Engineers

Citation

Mufit Cetin and Abdulkadir Tepecik
"Intensity–hue–saturation-based image fusion using iterative linear regression", J. Appl. Remote Sens. 10(4), 045019 (Nov 22, 2016). ; http://dx.doi.org/10.1117/1.JRS.10.045019


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
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.