Paper Info
Title
Image Interpolation By Pixel-Level Data-Dependent Triangulation
Abstract
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.
Year
DOI
Venue
2004
10.1111/j.1467-8659.2004.00752.x
COMPUTER GRAPHICS FORUM
Keywords
Field
DocType
image representation, continuous images, image modelling, image magnification, picture manipulation, picture interpolation
Computer vision,Computer science,Interpolation,Image processing,Stairstep interpolation,Sub-pixel resolution,Theoretical computer science,Artificial intelligence,Pixel,Image resolution,Image scaling,Bilinear interpolation
Journal
Volume
Issue
ISSN
23
2
0167-7055
Citations 
PageRank 
References 
49
3.31
17
Authors
2
Name
Order
Citations
PageRank
Dan Su17512.37
Philip Willis214015.47