Image Fusion With No Gamut Problem by Improved Nonlinear IHS Transforms for Remote Sensing
- 13 March 2013
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Geoscience and Remote Sensing
- Vol. 52 (1), 651-663
- https://doi.org/10.1109/tgrs.2013.2243157
Abstract
An image fusion method must ideally preserve both the detail of the panchromatic image and the color of the multispectral image. Existing image fusion methods incur the gamut problem of creating new colors which fall out of the RGB cube. These methods solve the problem by color clipping which yields undesirable color distortions and contrast reductions. An improved nonlinear IHS (intensity, hue, saturation; iNIHS) color space and related color transformations are proposed in this paper to solve the gamut problem without appealing to color clipping. The iNIHS space includes two halves, one being constructed from the lower half of the RGB cube by RGB to IHS transformations, and the other from the upper half of the RGB cube by CMY to IHS transformations. While incurring no out-of-gamut colors, desired intensity substitutions and additions in substitutive and additive image fusions, respectively, are all achievable, with the saturation component regulated within the maximum attainable range. Good experimental results show the feasibility of the proposed method.Keywords
This publication has 22 references indexed in Scilit:
- Fusion of Remote Sensing Images Using Improved ICA Mergers Based on Wavelet DecompositionProcedia Engineering, 2012
- Generalized IHS-Based Satellite Imagery Fusion Using Spectral Response FunctionsETRI Journal, 2011
- A united lαβ-contourlet method for remote sensing image fusionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2011
- Remote Sensing Image Fusion Using Multiscale Mapped LS-SVMIEEE Transactions on Geoscience and Remote Sensing, 2008
- Fusing remote sensing images using à trous wavelet transform and empirical mode decompositionPattern Recognition Letters, 2008
- A comparative analysis of image fusion methodsIEEE Transactions on Geoscience and Remote Sensing, 2005
- Comparison between Mallat's and the ‘à trous’ discrete wavelet transform based algorithms for the fusion of multispectral and panchromatic imagesInternational Journal of Remote Sensing, 2005
- A wavelet-based image fusion tutorialPattern Recognition, 2004
- Context-driven fusion of high spatial and spectral resolution images based on oversampled multiresolution analysisIEEE Transactions on Geoscience and Remote Sensing, 2002
- Multiresolution-based image fusion with additive wavelet decompositionIEEE Transactions on Geoscience and Remote Sensing, 1999