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Proceedings Paper

Volumetric image fusion using the pseudo-Wigner distribution
Author(s): Salvador Gabarda; Gabriel Cristobal; Sylvain Fischer; Rafael Redondo; Lorenzo Galleani; Leon Cohen
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Paper 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.

Paper Details

Date Published: 2 November 2004
PDF: 8 pages
Proc. SPIE 5558, Applications of Digital Image Processing XXVII, (2 November 2004); doi: 10.1117/12.561108
Show Author Affiliations
Salvador Gabarda, Instituto de Optica/CSIC (Spain)
Gabriel Cristobal, Instituto de Optica/CSIC (Spain)
Sylvain Fischer, Instituto de Optica/CSIC (Spain)
Rafael Redondo, Instituto de Optica/CSIC (Spain)
Lorenzo Galleani, Hunter College and Graduate Ctr./CUNY (United States)
Leon Cohen, Hunter College and Graduate Ctr./CUNY (United States)


Published in SPIE Proceedings Vol. 5558:
Applications of Digital Image Processing XXVII
Andrew G. Tescher, Editor(s)

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