Survey on mixed impulse and Gaussian denoising filters. Issue 16 (23rd February 2021)

• Record Type: Journal Article
• Authors: Mafi, Mehdi; Izquierdo, Walter; Cabrerizo, Mercedes; Barreto, Armando; Andrian, Jean; David Rishe, Naphtali; Adjouadi, Malek
• Is Part Of: IET image processing. Volume 14:Issue 16(2020)
• Page Start: 4027
• Page End: 4038
• Publication Date: 2021-02-23
• Subjects: random noise -- image denoising -- interference suppression -- Gaussian noise -- impulse noise -- image filtering; Gaussian denoising filters -- noise combination -- random noise model -- noise models -- noise level -- related denoising methods -- mixed impulse; Image processing -- Periodicals; 621.36705
• DOI: 10.1049/iet-ipr.2018.6335
• Languages: English
• ISSNs: 1751-9659

Abstract

Abstract : This study presents a comprehensive survey on mixed impulse and Gaussian denoising filters which are applied to an image in order to gauge the effects of this type of noise combination and to then determine optimal ways that can overcome such effects. The random noise model considered in this survey is the combined effect of impulse (salt and pepper) and Gaussian noise. After describing the noise models, the denoising filters which are applied to the images are classified and explained according to their design structure, the type of filters they use, the noise level they could overcome, and the limitations they face. This survey covers all related denoising methods and provides an assessment of the strengths and practical limitations of the different classes of denoising filters.