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Pyramid-based image empirical mode decomposition for the fusion of multispectral and panchromatic images

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12 pages
Image fusion is a fundamental technique for integrating high-resolution panchromatic images and low-resolution multispectral (MS) images. Fused images may enhance image interpretation. Empirical mode decomposition (EMD) is an effective method of decomposing non-stationary signals into a set of intrinsic mode functions (IMFs). Hence, the characteristics of EMD may apply to image fusion techniques. This study proposes a novel image fusion method using a pyramid-based EMD. To improve computational time, the pyramid-based EMD extracts the IMF from the reduced layer. Next, EMD-based image fusion decomposes the panchromatic and MS images into IMFs. The high-frequency IMF of the MS image is subsequently replaced by the high-frequency IMF of the panchromatic image. Finally, the fused image is reconstructed from the mixed IMFs. Two experiments with different sensors were conducted to validate the fused results of the proposed method. The experimental results indicate that the proposed method is effective and promising regarding both visual effects and quantitative analysis.
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Teo and Lau EURASIP Journal on Advances in Signal Processing 2012, 2012 :4 http://asp.eurasipjournals.com/content/2012/1/4
R E S E A R C H Open Access Pyramid-based image empirical mode decomposition for the fusion of multispectral and panchromatic images Tee-Ann Teo 1* and Chi-Chung Lau 2
Abstract Image fusion is a fundamental technique for integrating high-resolution panchromatic images and low-resolution multispectral (MS) images. Fused images may enhance image interpretation. Empirical mode decomposition (EMD) is an effective method of decomposing non-stationary signals into a set of intrinsic mode functions (IMFs). Hence, the characteristics of EMD may apply to image fusion techniques. This study proposes a novel image fusion method using a pyramid-based EMD. To improve computational time, the pyramid-based EMD extracts the IMF from the reduced layer. Next, EMD-based image fusion decomposes the panchromatic and MS images into IMFs. The high-frequency IMF of the MS image is subsequently replaced by the high-frequency IMF of the panchromatic image. Finally, the fused image is reconstructed from the mixed IMFs. Two experiments with different sensors were conducted to validate the fused results of the proposed method. The experimental results indicate that the proposed method is effective and promising regarding both visual effects and quantitative analysis. Keywords: image enhancement, image processing, multiresolution techniques, empirical mode decomposition, image fusion
1. Introduction of MS images in an optical sensor. To overcome this The development of earth resources satellites is mainly problem, image fusion techniques (also called color focus on improving spatial and spectral resolutions [1]. fusion, pan sharpen, or resolution merge) are widely As the spatial and spectral information are the two criti- used to obtain a fused image with both high spatial and cal factors for enriching the capability of image interpre- high spectral information. tation, fusion of high spatial and high spectral images The approaches of image fusion may be categorized may increase the usability of satellite images. Most into three types [2]: projecti on-substitution, relative remote sensing applications , such as image interpreta- spectral contribution, and ARSIS ( Amélioration de la tion and feature extraction, require both spatial and Résolution Spatiale par Injection de Structures ). Inten-spectral information; therefore, the demands for fusing sity-Hue-Saturation (IHS) [3] transform is one of the high-resolution multispectral (MS) images are famous fusion algorithms using the projection-substitu-increasing. tion method. This method interpolates MS image into Currently, most optical sensors are capable of acquir- the spatial resolution of a panchromatic image and con-ing high spatial resolution panchromatic (Pan) and low verts the MS image according to intensity, hue, and spatial resolution MS bands simultaneously; for example, saturation bands. The intensity of the MS image is then QuickBird, IKONOS, and SPOT series. Due to the tech- replaced with a high-spatial panchromatic image and nological constraints and costs, the spatial resolution of reversed to red, green, and blue bands. However, this panchromatic images is better than the spatial resolution method is limited to three-band images. The projection-substitution method also includes prin-* Correspondence: tateo@mail.nctu.edu.tw cipleenctoamploynsiesn(tIaCnAa)ly[s5i]s,(aPsCwAe)ll[4a]s,ionthdeerpemnedtehnotd.coTmh-e 1 Department of Civil Engineering, National Chiao Tung University, Hsinchu pon na 300, Taiwan PCA converts an MS image into several components Full list of author information is available at the end of the article © 2012 Teo and Lau; licensee Springer. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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