DocumentCode
129961
Title
Novel image zooming method based on sparse decomposition
Author
Xuan Zhu ; Qiuju Li ; Xufeng Zhang ; Ning Wang
Author_Institution
Sch. of Inf. Sci. & Technol., Northwest Univ., Xi´an, China
fYear
2014
fDate
28-30 July 2014
Firstpage
25
Lastpage
30
Abstract
Basing on the fact that the cartoon and texture in one image have different morphological characteristics, we propose a new model to zoom image. Combining with RDWT, the dictionary sparsely representing the cartoon, and WAT, the dictionary sparsely representing the texture, the presented model can effectively obtain the cartoon and texture. Then, we zoom the cartoon by C&E model and zoom the texture by bicubic interpolation. Superpose the zoomed cartoon and texture, the zoomed image will be obtained. As the experiment results show, the new model has good performs for enhancing edge, protecting small curvature and large gradient, and ensuring the texture clear and completion.
Keywords
image texture; interpolation; RDWT; bicubic interpolation; cartoon; image texture; image zooming method; morphological characteristics; sparse decomposition; Dictionaries; Discrete wavelet transforms; Image edge detection; Interpolation; Mathematical model; TV; C&E model; Image zooming; RDWT; Sparse representation; WAT;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Automation (ICIA), 2014 IEEE International Conference on
Conference_Location
Hailar
Type
conf
DOI
10.1109/ICInfA.2014.6932620
Filename
6932620
Link To Document