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Journal Articles Advances in Engineering Software Year : 2007

Digital image restoration by Wiener filter in 2D case

Abstract

Modern digital technology has made it possible to manipulate multi-dimensional signals with systems that range from simple digital circuits to advanced parallel computers. The goal of this manipulation can be divided into three categories: • Image Processing image in → image out. • Image Analysis image in → measurements out. • Image Understanding image in → high-level description out. Further, we will restrict ourselves to two-dimensional (2D) image processing although most of the concepts and techniques that are to be described can be extended easily to three or more dimensions. The Wiener filter is a solution to the restoration problem based upon the hypothesized use of a linear filter and the minimum mean-square (or rms) error criterion. In the example given below the image a[m, n] was distorted by a bandpass filter and then white noise was added to achieve an SNR = 30 dB.
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Dates and versions

lirmm-00162122 , version 1 (12-07-2007)

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Cite

A. Khireddine, K. Benmahammed, William Puech. Digital image restoration by Wiener filter in 2D case. Advances in Engineering Software, 2007, 38 (7), pp.513-516. ⟨10.1016/j.advengsoft.2006.10.001⟩. ⟨lirmm-00162122⟩
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