Academic Commons

Articles

Image fusion using steerable dyadic wavelet transform

Koren, Iztok; Laine, Andrew F.; Taylor, Fred

An image fusion algorithm based on multiscale analysis along arbitrary orientations is presented. After a steerable dyadic wavelet transform decomposition of multi-sensor images is carried out, the maximum local oriented energy is determined at each level of scale and spatial position. Maximum local oriented energy and local dominant orientation are used to combine transform coefficients obtained from the analysis of each input image. Reconstruction is accomplished from the modified coefficients, resulting in a fused image. Examples of multi-sensor fusion and fusion using different settings of a single sensor are demonstrated.

Files

More About This Work

Academic Units
Biomedical Engineering
Published Here
August 18, 2010

Notes

Proceedings: International Conference on Image Processing: October 23-26, 1995, Washington, D.C., vol. 3 (Los Alamitos, Calif.: IEEE Computer Society Press, 1995), pp. 232-235.

Academic Commons provides global access to research and scholarship produced at Columbia University, Barnard College, Teachers College, Union Theological Seminary and Jewish Theological Seminary. Academic Commons is managed by the Columbia University Libraries.