Butt, Irfan T. and Rajpoot, Nasir M. (Nasir Mahmood) (2009) Multilateral filtering : a novel framework for generic similarity-based image denoising. In: 16th IEEE International Conference on Image Processing, Cairo, Egypt, November 07-10, 2009. Published in: 2009 16TH IEEE International Conference on Image Processing pp. 2945-2948.

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Abstract

We present a novel iterative nonlinear filtering framework, termed multilateral filtering, based on the idea of generic local similarity. A set of local features is computed for each pixel using its local neighborhood. Two pixels are considered to be similar if the Euclidean distance between their corresponding feature vectors is small and vice versa. Multilateral filtering results in image smoothing while preserving edge and textural features. Our experimental results show that the proposed method produces comparable and often better results than the state-of-the-art denoising methods.

Item Type:	Conference Item (Paper)
Subjects:	Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Science > Computer Science
Journal or Publication Title:	2009 16TH IEEE International Conference on Image Processing
Publisher:	IEEE
ISBN:	978-1-4244-5653-6
Date:	2009
Number of Pages:	4
Page Range:	pp. 2945-2948
Identification Number:	10.1109/ICIP.2009.5414513
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
Conference Paper Type:	Paper
Title of Event:	16th IEEE International Conference on Image Processing
Type of Event:	Conference
Location of Event:	Cairo, Egypt
Date(s) of Event:	November 07-10, 2009
URI:	http://wrap.warwick.ac.uk/id/eprint/5438

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