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Content Provider | IET Digital Library |
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Author | Lowe, Thomas |
Abstract | This study presents an alternative method of displaying vector and raster graphics which provides greater visual clarity than standard methods. Rather than rasterising lines and points by shading them with a pixel thickness, shade is interpreted as an intensity per length and per point, respectively; generically per fractal measure of the geometric feature. Integrating these shades through supersampling provides a generic shading method that is independent of screen resolution, supersample size and feature dimension. By using a fractal measure that is local in both space and scale, the author's method generalises to arbitrary features and so is extendable to raster images where no feature is truly sub-two-dimensional. The resulting images exhibit details that are lost to standard rasterisers. Their system can be seen as enabling a sliding scale between a photographic view and a diagrammatic view of the same data. |
Starting Page | 553 |
Ending Page | 559 |
Page Count | 7 |
ISSN | 17519659 |
Volume Number | 9 |
e-ISSN | 17519667 |
Issue Number | Issue 7, Jul (2015) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-ipr/9/7 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2014.0642 |
Journal | IET Image Processing |
Publisher Date | 2015-03-10 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Algebra Arbitrary Features Computer Vision And Image Processing Technique Diagrammatic View Display Characteristic Feature Extraction Fractal Measure Fractals Generic Shading Geometric Feature Graphics Technique Image Clarity Image Recognition Image Resolution Local Feature Dimension Photographic View Raster Graphics Screen Resolution Sliding Scale Supersample Size Vector Vector Graphics Visual Clarity |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software |
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