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Proceedings Paper

A hybrid method for image interpolation
Author(s): Chun Qi; Hua Huang; Wen-Bing Wang; Jing Zhang; Shuangliang Di
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Paper Abstract

A hybrid method for image interpolation is proposed. The method consists of three different approaches: Circular arc or B-spline interpolation, linear interpolatino and human visual sensitivity based on interpolation. The image can be divided into three regions: linear smooth region, sharp edge region and human visual insensitive region. The method uses local variance and mean value to find different regions adaptively. The linear interpolation is used for linear smooth region. The human visual sensitivity based interpolation is used for human visual insensitive region and the circular arc or B-spline interpolation is used for sharp edge region. Experiments show that proposed method produces results that are more visually realistic than standard function-fitting methods.

Paper Details

Date Published: 25 September 2003
PDF: 4 pages
Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.538972
Show Author Affiliations
Chun Qi, Xi'an Jiaotong Univ. (China)
Hua Huang, Xi'an Jiaotong Univ. (China)
Wen-Bing Wang, Xi'an Jiaotong Univ. (China)
Jing Zhang, Xi'an Jiaotong Univ. (China)
Shuangliang Di, Xi'an Jiaotong Univ. (China)


Published in SPIE Proceedings Vol. 5286:
Third International Symposium on Multispectral Image Processing and Pattern Recognition
Hanqing Lu; Tianxu Zhang, Editor(s)

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