An Efficient Approach for Removal of Impulse Noise from Highly Corrupted Images
Tanzila Rahman, Liton Jude Rozario, Mohammad Uddin · SOP Transactions on Signal Processing · 2015
In this paper, a method based on adaptive fuzzy filter is used to denoise image corrupted by impulse noise. The algorithm is proposed for restoration of grayscale as well as color images which are highly corrupted by salt and pepper noise. The algorithm detects level of corruption for each pixel using triangular fuzzy membership function to ensure the replacement of noisy pixels based on degree of corruption. Besides providing ease of computation here we use fully adaptive and automatically adjustable threshold value. Final result shows better performance in the impulse noise reduction over standard images relative to the conventional median filtering approach in terms of both noise reduction and fine detail preservation.