Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/31855
Title: An image restoration method based on PDEs and a new gradient model
Authors: Xu, L
Zhang, XL
Lam, KM 
Keywords: Image processing
PDE
Image restoration
Issue Date: 2010
Publisher: IEEE
Source: 2010 17th IEEE International Conference on Image Processing (ICIP), 26-29 September 2010, Hong Kong, p. 4165-4168 How to cite?
Abstract: The goal of image restoration is to eliminate noise and insignificant details from a blurred or noise-affected image, without blurring important semantic structures such as edges. In this paper, we propose a new approach based on partial differential equations (PDEs) by adjusting the threshold when iteration proceeds, and a new gradient model based on the idea of bilateral filtering, which can retain more visual details than other methods. With this new approach, the noise can be removed efficiently while preserving important semantic structures such as edges.
URI: http://hdl.handle.net/10397/31855
ISBN: 978-1-4244-7992-4
978-1-4244-7993-1 (E-ISBN)
ISSN: 1522-4880
DOI: 10.1109/ICIP.2010.5654331
Appears in Collections:Conference Paper

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