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

Mufit Cetin; Abdulkadir Tepecik

doi:10.1117/1.JRS.10.045019

22 November 2016 Intensity–hue–saturation-based image fusion using iterative linear regression

Mufit Cetin, Abdulkadir Tepecik

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 10, Issue 4, 045019 (November 2016). https://doi.org/10.1117/1.JRS.10.045019

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.

Citation Download Citation

Mufit Cetin and Abdulkadir Tepecik "Intensity–hue–saturation-based image fusion using iterative linear regression," Journal of Applied Remote Sensing 10(4), 045019 (22 November 2016). https://doi.org/10.1117/1.JRS.10.045019

Published: 22 November 2016

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE