DocumentCode :
177783
Title :
Surface Interpolation to Image with Edge Preserving
Author :
Ling Zhang ; Caiming Zhang ; Yuanfeng Zhou ; Xuemei Li
Author_Institution :
Sch. of Comput. Sci. & Technol., ShanDong Univ., Jinan, China
fYear :
2014
fDate :
24-28 Aug. 2014
Firstpage :
1055
Lastpage :
1060
Abstract :
Based on the assumption that low-resolution image is sampled from an original scene approximated by piecewise polynomial surface, this paper proposes two different constraints to make the fitting surface of the original scene preserve the image´s edge characteristics. We first construct a cubic parametric curve to approximate the edge in each local area and obtain an auxiliary pixel set by re-sampling the curve, then introduce a weight function to accord pixels different degrees of effects on surface reconstruction. By re-sampling the constructed surface, the enlarged image can be easily obtained. Extensive experimental results on various types of low-resolution images demonstrate that our method produces generally better results both in terms of quantitative evaluation and subjective visual quality.
Keywords :
image reconstruction; image resolution; interpolation; auxiliary pixel set; cubic parametric curve; curve resampling; edge preserving; low-resolution image; piecewise polynomial surface; quantitative evaluation; subjective visual quality; surface interpolation; surface reconstruction; weight function; Image edge detection; Image reconstruction; Interpolation; Polynomials; Surface fitting; Surface reconstruction; Surface treatment; curve; edge; fitting surface; weight function;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition (ICPR), 2014 22nd International Conference on
Conference_Location :
Stockholm
ISSN :
1051-4651
Type :
conf
DOI :
10.1109/ICPR.2014.191
Filename :
6976901
Link To Document :
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