A new effective denoising filter for high density impulse noise reduction

Today, thanks to the rapid development of technology, importance digital images is increasing. However, sensor errors that may occur during acquisition, interruptions in transmission and storage cause noise degrades data quality. Salt pepper noise, a common impulse one most well-known types images. This negatively affects detailed analysis image. It very important pixels affected by are restored without loss image fine details, especially at high level density. Although many filtering algorithms have been proposed remove enhancement with levels still complex, not efficient or requires long runtime. In this paper, we propose an effective denoising filter can restore effectively terms quality speed less complexity for density level. experimental studies, compare results method other state-of-the-art methods algorithm quantitatively visually comparable these when intensity up 90%.