Approach to maximize increased details and minimize color distortion for IKONOS and QuickBird image fusion

Yu Su; Ping Sheng Huang; Chi-Fang Lin; TeMing Tu

doi:10.1117/1.1810142

1 December 2004 Approach to maximize increased details and minimize color distortion for IKONOS and QuickBird image fusion

Yu Su, Ping Sheng Huang, Chi-Fang Lin, TeMing Tu

Author Affiliations +

Optical Engineering, Vol. 43, Issue 12, (December 2004). https://doi.org/10.1117/1.1810142

Abstract

Both IKONOS and QuickBird offer 11-bit panchromatic and multispectral data in which more details can be extracted from scenes that are very dark under shadows or very washed out due to excessive sun reflectance. In this work, a discrete cosine transform (DCT)-based single-scale Retinex (SSR) technique is presented to extract the highest possible spatial details from the panchromatic image, and a minimum/maximum percent cutoff approach is used to preserve the most spectral information in the multispectral imagery. By fusing those two images, the typical bright target recovery (BTR) response can be avoided. Furthermore, to address the color distortion problem by the fusion process, a fast intensity hue saturation (IHS) image fusion technique with direct saturation stretching in RGB space is also proposed. To verify the efficacy of the proposed techniques, experiments are conducted using real IKONOS and QuickBird imagery covering different areas. Experimental results have shown that the perfect performance, maximizing increased details and minimizing color distortion, is achieved.

©(2004) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Yu Su, Ping Sheng Huang, Chi-Fang Lin, and TeMing Tu "Approach to maximize increased details and minimize color distortion for IKONOS and QuickBird image fusion," Optical Engineering 43(12), (1 December 2004). https://doi.org/10.1117/1.1810142

Published: 1 December 2004

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

Includes PDF, HTML & Video, when available