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Digital image restoration by Wiener filter in 2D case

A. Khireddine 1 K. Benmahammed 1 William Puech 2
2 ICAR - Image & Interaction
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
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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Submitted on : Thursday, July 12, 2007 - 2:35:39 PM
Last modification on : Wednesday, September 12, 2018 - 9:52:02 AM
Long-term archiving on: : Monday, September 24, 2012 - 11:00:56 AM


  • HAL Id : lirmm-00162122, version 1



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



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