Fusion and merging of multispectral images with use of multiscale fundamental forms

Abstract

A new multispectral image wavelet representation is introduced, based on multiscale fundamental forms. This representation describes gradient information of multispectral images in a multiresolution framework. The representation is, in particular, extremely suited for fusion and merging of multispectral images. For fusion as well as for merging, a strategy is described. Experiments are performed on multispectral images, where Landsat Thematic Mapper images are fused and merged with SPOT Panchromatic images. The proposed techniques are compared with wavelet-based techniques described in the literature.

© 2001 Optical Society of America

Image fusion with additive multiresolution wavelet decomposition. Applications to SPOT+Landsat images

Jorge Núñez, Xavier Otazu, Octavi Fors, Albert Prades, Vicenç Palà, and Román Arbiol
J. Opt. Soc. Am. A 16(3) 467-474 (1999)

Image merging and data fusion by means of the discrete two-dimensional wavelet transform

David A. Yocky
J. Opt. Soc. Am. A 12(9) 1834-1841 (1995)

Multiscale contrast direction adaptive image fusion technique for MWIR-LWIR image pairs and LWIR multifocus infrared images

A. Onur Karali, Serdar Cakir, and Tayfun Aytaç
Appl. Opt. 54(13) 4172-4179 (2015)

High resolution image acquisition from magnetic resonance and computed tomography scans using the curvelet fusion algorithm with inverse interpolation techniques

Fatma E. Ali, Ibrahim M. El-Dokany, Abdelfattah A. Saad, Waleed Al-Nuaimy, and Fathi E. Abd El-Samie
Appl. Opt. 49(1) 114-125 (2010)

Wavelet-based image enhancement in x-ray imaging and tomography

Andrei V. Bronnikov and Gerrit Duifhuis
Appl. Opt. 37(20) 4437-4448 (1998)