Image Interpolation by Pixel-Level Data-Dependent Triangulation

We present a novel image interpolation algorithm. The algorithm can be used in arbitrary resolution enhancement, arbitrary rotation and other applications of still images in continuous space. High‐resolution images are interpolated from the pixel‐level data‐dependent triangulation of lower‐resolutio...

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Veröffentlicht in:Computer graphics forum Jg. 23; H. 2; S. 189 - 201
Hauptverfasser: Su, Dan, Willis, Philip
Format: Journal Article
Sprache:Englisch
Veröffentlicht: 9600 Garsington Road , Oxford , OX4 2DQ , UK Blackwell Publishing Ltd 01.06.2004
Schlagworte:
Algorithms
C.5.4 [Computer System Implementation]: VLSI systems
Computer graphics
continuous images
display algorithms
graphics data structures and data types
I.3.3 [Computer Graphics]: Picture/image generation - digitizing and scanning
I.3.3 [Computer Graphics]: Picture/image generation – digitizing and scanning, display algorithms, viewing algorithms
I.3.6 [Computer Graphics]: Methodology and techniques - device independence
I.3.6 [Computer Graphics]: Methodology and techniques – device independence, graphics data structures and data types
I.4.1 [Image Processing and Computer Vision]: Digitisation and image capture - image geometry
image magnification
image modelling
Image processing systems
image representation
picture interpolation
picture manipulation
Studies
viewing algorithms
ISSN:0167-7055, 1467-8659
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:We present a novel image interpolation algorithm. The algorithm can be used in arbitrary resolution enhancement, arbitrary rotation and other applications of still images in continuous space. High‐resolution images are interpolated from the pixel‐level data‐dependent triangulation of lower‐resolution images. It is simpler than other methods and is adaptable to a variety of image manipulations. Experimental results show that the new “mesh image” algorithm is as fast as the bilinear interpolation method. We assess the interpolated images' quality visually and also by the MSE measure which shows our method generates results comparable in quality to slower established methods. We also implement our method in graphics card hardware using OpenGL which leads to real‐time high‐quality image reconstruction. These features give it the potential to be used in gaming and image‐processing applications.
Bibliographie:istex:C21CF306226AD2C85ED020271EBAE98980B6AA55
ark:/67375/WNG-9P3DHBKN-G
ArticleID:CGF752
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ObjectType-Feature-1
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ISSN:0167-7055
1467-8659
DOI:10.1111/j.1467-8659.2004.00752.x