Learning Algorithms with Neighboring Inputs in Self-organizing Maps for Image Restoration.
Michiharu MaedaNoritaka ShigeiHiromi MiyajimaPublished in: IJCCI (2009)
Keyphrases
- self organizing maps
- image restoration
- learning algorithm
- input data
- total variation
- super resolution
- edge preserving
- neural network
- markov random field
- image processing
- unsupervised learning
- active learning
- training data
- machine learning
- supervised learning
- neural gas
- iterative image restoration
- point spread function
- blurred images
- regularization parameter
- k means
- blind image restoration
- modified hopfield neural network
- image quality
- edge detection
- learning process
- feature space
- object recognition
- image deblurring
- computational complexity
- restoration algorithm
- restoration method
- reinforcement learning
- image restoration problems
- feature selection
- data sets