Scientia Iranica

Scientia Iranica

Volume 19, Issue 6, December 2012, Pages 1738-1745
Scientia Iranica

Research note
New algorithms for recovering highly corrupted images with impulse noise

https://doi.org/10.1016/j.scient.2012.07.016Get rights and content
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Abstract

In this work, we present a new method of noise removal which is applied on images corrupted by impulse noise. This new algorithm has a good trade-off between quantitative and qualitative properties of the recovered image and the computation time. In this new method, the corrupted pixels are replaced by using a median filter or, they are estimated by their neighbors’ values. Our proposed method shows better results especially in very high density noisy images than Standard Median Filter (SMF), Adaptive Median Filter (AMF) and some other well-known filters for removing impulse noise. Experimental results show the superiority of the proposed algorithm in measures of PSNR and SSIM, specifically when the image is corrupted with more than 90% impulse noise.

Keywords

Noise removal
Image processing
Impulse noise
Filtering
Salt & pepper
Restoring an image

Cited by (0)

Amin Jourabloo received his B.Sc. from Ferdowsi University of Mashhad and is pursuing his M.Sc. in Sharif University of Technology. His main research interests are machine learning, sparse representation and machine vision.

Amir Hossein Feghahati received his B.S. in Computer Engineering from Iran University of Science and Technology. He is a student of M.S. in Artificial Intelligence in Sharif University of Technology. His main research interests are machine learning, computer vision and Sparse Representation.

Mansour Jamzad has obtained his M.S. degree in Computer Science from McGill University, Montreal, Canada and his Ph.D. in Electrical Engineering from Waseda University, Tokyo, Japan in 1989. For a period of two years after graduation, he worked as a Post Doctorate Researcher in the Department of Electronics and Communication Engineering, Waseda University. He was a visiting researcher at Tokyo Metropolitan Institute of Gerontology during 1990–1994.

He joined Department of Computer Engineering, Sharif University of Technology, Tehran, Iran, as faculty member in 1995. He has been teaching digital image processing and machine vision graduate courses for the last 17 years. His main research interests are digital image processing, machine vision and its applications. In recent years, he has been very active in research fields such as watermarking, content-based image retrieval, image annotation and tracking.

Peer review under responsibility of Sharif University of Technology.

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