Progressive imagery with scalable vector graphics

Fuchs, Georg; Schumann, Heidrun; Rosenbaum, René

doi:10.1117/12.871935

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2016

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“…Fuchs et al [25] provide a level-of-detail approach to progressive SVG imagery. Whereas their SVG is the entire image, varilets' SVG is the segmented image (section 3.2); therefore the two methods are not addressing the same problems.…”

Section: Image Vectorizationmentioning

confidence: 99%

Persistence Lenses: Segmentation, Simplification, Vectorization, Scale Space and Fractal Analysis of Images

Brooks

2016

Preprint

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A persistence lens is a hierarchy of disjoint upper and lower level sets of a continuous luminance image's Reeb graph, providing a contrast-invariant topological representation of image contrast variation. Pulled back to the image, the boundary components of a persistence lens's interior components are Jordan curves that serve as a hierarchical segmentation of the image, and may be rendered as vector graphics. A persistence lens determines a varilet basis [10] for the luminance image, in which image simplification is a realized by subspace projection. Image scale space, and image fractal analysis, result from applying a scale measure to each basis function.

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Section: Image Vectorizationmentioning

confidence: 99%

Persistence Lenses: Segmentation, Simplification, Vectorization, Scale Space and Fractal Analysis of Images

Brooks

2016

Preprint

View full text Add to dashboard Cite

show abstract

Progressive imagery with scalable vector graphics

Cited by 1 publication

References 10 publications

Persistence Lenses: Segmentation, Simplification, Vectorization, Scale Space and Fractal Analysis of Images

Persistence Lenses: Segmentation, Simplification, Vectorization, Scale Space and Fractal Analysis of Images

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