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Hybrid Variational Model for Texture Image Restoration
- Source :
- East Asian Journal on Applied Mathematics. 7:629-642
- Publication Year :
- 2017
- Publisher :
- Global Science Press, 2017.
-
Abstract
- The hybrid variational model for restoration of texture images corrupted by blur and Gaussian noise we consider combines total variation regularisation and a fractional-order regularisation, and is solved by an alternating minimisation direction algorithm. Numerical experiments demonstrate the advantage of this model over the adaptive fractional-order variational model in image quality and computational time.
- Subjects :
- Minimisation (psychology)
Mathematical optimization
Image quality
Computer science
Texture (cosmology)
Applied Mathematics
Variational model
02 engineering and technology
01 natural sciences
010101 applied mathematics
symbols.namesake
Gaussian noise
0202 electrical engineering, electronic engineering, information engineering
symbols
020201 artificial intelligence & image processing
0101 mathematics
Algorithm
Image restoration
Subjects
Details
- ISSN :
- 20797370 and 20797362
- Volume :
- 7
- Database :
- OpenAIRE
- Journal :
- East Asian Journal on Applied Mathematics
- Accession number :
- edsair.doi...........e4d728db34b1774463af74e6c2b7e69a