Multisensor image fusion using the wavelet transform
Graphical Models and Image Processing
Digital Image Processing
Bilateral Filtering for Gray and Color Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Guest editorial: Image fusion: Advances in the state of the art
Information Fusion
Pixel- and region-based image fusion with complex wavelets
Information Fusion
Modeling of 3D Scene Based on Series of Photographs Taken with Different Depth-of-Field
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part II
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Creation of virtual reality models from photographs is very complex and time-consuming process, that requires special equipment like laser scanners, a large number of photographs and manual interaction. In this work we present a method for generating of surface geometry of photographed scene. Our approach is based on the phenomenon of shallow depth-of-field in close-up photography. Representing such surface details is useful to increase the visual realism in a range of application areas, especially biological structures or microorganisms. For testing purposes a set of images of the same scene is taken from a typical digital camera with macro lenses with a different depth-of-field. Our new image fusion method employs discrete Fourier transform to designate sharp regions in this set of images, combine them together into a fully focused image and finally produce a height field map. Further image processing algorithms approximate three dimensional surface using this height field map and a fused image. Experimental results show that our method works for wide range of cases and gives a good tool for acquiring surfaces from a few photographs.