DocumentCode :
2388615
Title :
Image interpolation based on decomposition
Author :
Guo, Nana ; Song, Li ; Yang, Xiaokang ; Zhang, Wenjun
Author_Institution :
Shanghai Key Lab. of Digital Media Process. & Transm., Shanghai Jiao Tong Univ., Shanghai, China
fYear :
2010
fDate :
6-8 Dec. 2010
Firstpage :
1
Lastpage :
4
Abstract :
This paper proposes a new approach for interpolating natural images. Unlike other conventional interpolation methods, we exploit the characteristics of an image and decompose it into a texture part and a non-texture (cartoon) part. In the non-texture part, we interpolate it with bicubic interpolation which performs well for smooth areas. We deal the texture part with peak transform based interpolation which resets the image pixels to capture the characters of the texture through peak transform. The experiment results demonstrate our new interpolation method has higher PSNR and better subjective quality of the interpolated image, especially in the texture part.
Keywords :
image texture; interpolation; bicubic interpolation; image interpolation; image pixels; image texture; interpolation methods; Boats; Hair; Image edge detection; Image resolution; Interpolation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Signal Processing and Communication Systems (ISPACS), 2010 International Symposium on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-7369-4
Type :
conf
DOI :
10.1109/ISPACS.2010.5704621
Filename :
5704621
Link To Document :
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