A decision based asymmetrically trimmed modified winsorized median filter for the removal of salt and pepper noise in images and videos Mary Subaja Christo 1 & K. Vasanth 2 & R. Varatharajan 3 Received: 25 April 2018 /Revised: 6 October 2018 /Accepted: 13 August 2019 # Springer Science+Business Media, LLC, part of Springer Nature 2019 Abstract A decision based asymmetrically trimmed Winsorized median for the removal of salt and pepper noise in images and videos is proposed. The proposed filter initially classifies the pixels as noisy and non noisy and later replaces the noisy pixels with asymmetrically trimmed modified winsorized median leaving the non noisy pixels unaltered. Exhaustive experiments were conducted on standard image database and the performance of the proposed filter was evaluated in terms of both quantitative and qualitatively with existing algorithm. It was found that the proposed algorithm was found to exhibit excellent noise suppression capabilities by preserving the fine infor- mation of the image even at higher noise densities. The performance of the proposed filter was found good even for videos. Keywords Salt and pepper noise . Asymmetrically trimmed modified winsorized median . Detail preservation . Non linear filter Multimedia Tools and Applications https://doi.org/10.1007/s11042-019-08124-9 * R. Varatharajan varathu21@yahoo.com Mary Subaja Christo marysubaja@gmail.com K. Vasanth vasanthecek@gmail.com 1 Department of Computer Science and Engineering, Saveetha School of Engineering, Thandalam, Chennai-602105, India 2 Department of ECE, Vidya Jyothi Institute of Technology, Hyderabad, Telengana, India 3 Department of Electronics and Communication Engineering, Sri Ramanujar Engineering College, Chennai, India