Journal
SCIENCE CHINA-INFORMATION SCIENCES
Volume 56, Issue 3, Pages -Publisher
SCIENCE PRESS
DOI: 10.1007/s11432-011-4365-x
Keywords
dictionary learning; cartoon-texture decomposition; image denoising; total variation
Funding
- National Natural Science Foundation of China [60773209, 60872138]
- Chinese Ministry of Education [211155]
- Baoji University of Arts and Science [ZK10171]
- Scientific Research Plan Project of Shaanxi Education Department [12JK0550]
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A novel variational model for image decomposition is proposed. Meanwhile a new cartoon-texture dictionary learning algorithm, which is guided by diffusion flow, is presented. Numerical experiments show that the proposed method has better performance than the existing algorithms in image decomposition and denoising.
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