Design of median-type filters with an impulse noise detector using decision tree and particle swarm optimization for image restoration.
Bae-Muu ChangHung-Hsu TsaiXuan-Ping LinPao-Ta YuPublished in: Comput. Sci. Inf. Syst. (2010)
Keyphrases
- image restoration
- gaussian noise
- image deblurring
- median filter
- impulse noise
- salt and pepper
- impulsive noise
- particle swarm optimization
- wiener filter
- decision trees
- random valued impulse noise
- edge preserving
- poisson noise
- regularization parameter
- super resolution
- noise suppression
- noise reduction
- total variation
- median filtering
- modified hopfield neural network
- weighted median filter
- image processing
- blurred images
- denoising
- image details
- computer vision
- filtering method
- motion blur
- image enhancement
- degraded images
- machine learning
- background subtraction
- noise detection
- noise removal
- noisy images
- spatial domain
- noise free
- image noise
- point spread function