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The creation of consistent underwater photomosaics is
typically hampered by local misalignments and
inhomogeneous illumination of the image frames, which
introduce visible seams that complicate
post-processing of the mosaics for object recognition
and shape extraction. In this work, methods are
proposed to improve blending techniques for
underwater photomosaics and the results are compared
with traditional methods. Five specific techniques
drawn from various areas of image processing,
computer vision, and computer graphics have been
tested: illumination correction based on the median
mosaic, thin-plate spline warping, perspective
warping, graph-cut applied in the gradient domain and
in the wavelet domain. A combination of the first two
methods yields globally homogeneous underwater
photomosaics with preserved continuous features.
Further improvements are obtained with the graph-cut
technique applied in the spatial domain.
typically hampered by local misalignments and
inhomogeneous illumination of the image frames, which
introduce visible seams that complicate
post-processing of the mosaics for object recognition
and shape extraction. In this work, methods are
proposed to improve blending techniques for
underwater photomosaics and the results are compared
with traditional methods. Five specific techniques
drawn from various areas of image processing,
computer vision, and computer graphics have been
tested: illumination correction based on the median
mosaic, thin-plate spline warping, perspective
warping, graph-cut applied in the gradient domain and
in the wavelet domain. A combination of the first two
methods yields globally homogeneous underwater
photomosaics with preserved continuous features.
Further improvements are obtained with the graph-cut
technique applied in the spatial domain.