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17th International Conference on Pattern Recognition (ICPR'04) - Volume 4
Image Interpolation by High Dimensional Projection based on Subspace Method
Cambridge UK
August 23-August 26
ISBN: 0-7695-2128-2
Toshiyuki Amano, Nagoya Institute of Technology, Japan
This paper presents a new image interpolation technique for image cracking such as telop character occlusion or picture deterioration. The landscape picture and texture pattern or other natural scenes contain the behavior of the autocorrelation pattern, and a method of image interpolation based on the autocorrelation pattern has been established. This method extracts many local regions from a piece of image and generates a subspace by the image vectors. The subspace limits the freedom of the image description at the local region by the hyperplane restriction in the image vector space. This paper explains for an image interpolation method based on eigen-space and explains the expansion using kernel non-linear projection.
Citation:
Toshiyuki Amano, "Image Interpolation by High Dimensional Projection based on Subspace Method," icpr, vol. 4, pp.665-668, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 4, 2004
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