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2 November 2004 Volumetric image fusion using the pseudo-Wigner distribution
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Abstract
Image fusion methods provide an enhanced image from a set of source images which present regions with different spatial degradation patterns. Here within a fusion procedure is presented, based on the use of a new defocusing pixel-level measure. Such measure is defined through a 1-D Pseudo Wigner Distribution Function (PWD) applied to non-overlapping N-pixel window slices of the original image. The process is repeated up to cover the full image size. By taking a low resolution image as a reference image, which can be defined i.e. by averaging and blurring the two source images, a pixel-level distance measure of the defocus degree can be obtained from the PWD of each image. This procedure makes possible choosing from a focusing point of view, the in-focus pixels from each one of the given source images. The method is illustrated with different examples. The image fusion approach that we proposed here can work for any source and number of images available. Also, evaluation measures, such as mean square error or percentage of correct decisions, show that our framework can outperform the current approaches for the analyzed cases. One additional advantage of the present approach is its reduced computational cost in comparison with other methods based on a full 2-D implementation of the PWD.
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Salvador Gabarda, Gabriel Cristobal, Sylvain Fischer, Rafael Redondo, Lorenzo Galleani, and Leon Cohen "Volumetric image fusion using the pseudo-Wigner distribution", Proc. SPIE 5558, Applications of Digital Image Processing XXVII, (2 November 2004); https://doi.org/10.1117/12.561108
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