QuickBird Image Fusion by a Multirresolution-Multidirectional Joint Image Representation

A new fusion methodology for Multiespectral and Pancromatic images, has been proposed. This methodology is based on a joint multiresolution-multidirectional representation of the source images. For that an unique directional filters bank of low computacional complexity has been used.This kind of image representation allows an appropriated selection of the information extracted from the source images, avoiding some of the limitations inherent to other multiresolution fusion methods. The final aim is to obtain fused images with a high spectral and spatial quality simultaneously. The source images corresponds to the captured by Quickbird satellite (panchromatic and multispectral). The high quality of the obtained results shows the potential of the joint multiresolution-multidirectional representation for images fusion.

[1]  E. Candès,et al.  Ridgelets: a key to higher-dimensional intermittency? , 1999, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[2]  S. Mallat.  A wavelet tour of signal processing , 1998 .

[3]  Luciano Alparone,et al.  Pan-sharpening of multispectral images: a critical review and comparison , 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

[4]  Minh N. Do,et al.  Ieee Transactions on Image Processing the Contourlet Transform: an Efficient Directional Multiresolution Image Representation , 2022 .

[5]  Christine Pohl,et al.  Multisensor image fusion in remote sensing: concepts, methods and applications , 1998 .

[6]  Amrane Houacine,et al.  Redundant versus orthogonal wavelet decomposition for multisensor image fusion , 2003, Pattern Recognit..

[7]  Minh N. Do,et al.  The Nonsubsampled Contourlet Transform: Theory, Design, and Applications , 2006, IEEE Transactions on Image Processing.

[8]  Valliappa Lakshmanan,et al.  A separable filter for directional smoothing , 2004, IEEE Geoscience and Remote Sensing Letters.

[9]  Michael Unser,et al.  Texture classification and segmentation using wavelet frames , 1995, IEEE Trans. Image Process..

[10]  David L. Donoho,et al.  Curvelets, multiresolution representation, and scaling laws , 2000, SPIE Optics + Photonics.

[11]  J. Zhou,et al.  A wavelet transform method to merge Landsat TM and SPOT panchromatic data , 1998 .

[12]  Mark J. T. Smith,et al.  Improved structures of maximally decimated directional filter Banks for spatial image analysis , 2004, IEEE Transactions on Image Processing.

[13]  Fionn Murtagh,et al.  Image Processing and Data Analysis - The Multiscale Approach , 1998 .

[14]  Mario Lillo-Saavedra,et al.  Spectral or spatial quality for fused satellite imagery? A trade‐off solution using the wavelet à trous algorithm , 2006 .

[15]  L. Wald,et al.  Fusion of high spatial and spectral resolution images : The ARSIS concept and its implementation , 2000 .

[16]  E. Candès,et al.  Curvelets: A Surprisingly Effective Nonadaptive Representation for Objects with Edges , 2000 .

[17]  R. H. Bamberger,et al.  New results on two and three dimensional directional filter banks , 1993, Proceedings of 27th Asilomar Conference on Signals, Systems and Computers.

[18]  Mark J. T. Smith,et al.  A filter bank for the directional decomposition of images: theory and design , 1992, IEEE Trans. Signal Process..

[19]  Mark J. T. Smith,et al.  A new directional filter bank for image analysis and classification , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

[20]  Dirk Roose,et al.  Wavelet-based image denoising using a Markov random field a priori model , 1997, IEEE Trans. Image Process..

[21]  Truong T. Nguyen,et al.  Multiresolution direction filterbanks: theory, design, and applications , 2005, IEEE Transactions on Signal Processing.

[22]  Mario Lillo-Saavedra,et al.  Fusion of multispectral and panchromatic satellite sensor imagery based on tailored filtering in the Fourier domain , 2005 .

[23]  P. Dutilleux.  An Implementation of the “algorithme à trous” to Compute the Wavelet Transform , 1989 .

[24]  Xavier Otazu,et al.  Multiresolution-based image fusion with additive wavelet decomposition , 1999, IEEE Trans. Geosci. Remote. Sens..