SHCF: A supervised hierarchical clustering approach to remove high density salt and pepper noise from black and white content digital images.
Paul K. AmalamanChristoph F. EickPublished in: Multim. Tools Appl. (2024)
Keyphrases
- digital images
- hierarchical clustering
- black and white
- high density
- salt and pepper noise
- impulse noise
- low density
- adobe photoshop
- clustering method
- digital imaging
- digital camera
- clustering algorithm
- median filter
- image editing
- gaussian noise
- data center
- semi supervised
- gray level
- grayscale images
- k means
- noisy images