A noise-filtering method using a local information measure

Beghdadi, Azeddine; Khellaf, A.

doi:10.1109/83.585237

Cited by 56 publications

(30 citation statements)

References 19 publications

(23 reference statements)

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“…The comparisons with the 3D extensions (modifications) of recently introduced switching median filters are provided as well, including order-statistics approaches (ICM and MICM) (Park and Kurz, 1996), local contrast probability (LCP) approach (Beghdadi and Khellaf, 1997), edge-detecting switching median (EDSM) (Zhang and Karim, 2002), CWM switching-based median (CWMMF) (Chen and Wu, 2001), and variance-based switching median (VSMF) .…”

Section: Resultsmentioning

confidence: 99%

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Adaptive video filtering framework

Lukáč

Fischer

Motyl

et al. 2004

Int J Imaging Syst Tech

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We present a new 3D adaptive filtering approach capable of detecting and removing impulsive noise in image/video sequences. The proposed method takes advantage of switching median schemes and robust lower-upper-middle (LUM) smoothing characteristics. Simulation studies reported in this article indicate that the proposed filtering scheme achieves an excellent trade-off between noise attenuation and detail preserving characteristics, and clearly outperforms previously introduced approaches in terms of subjective and objective image quality measures. Besides the filter analysis and the testing of its performance, an important part of this article discusses the filter implementation in Altera field programmable logic devices (FPLD). Simulation studies indicate that the proposed method can be efficiently implemented in hardware and is suitable for real-time image/ video processing applications.

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Section: Resultsmentioning

confidence: 99%

“…Therefore, early developed switching filters (Berstain, 1987;Lee, 1983) introduce the adaptive alternation between the identity operation and the robust median filtering. In last decade, this concept has been adopted by a variety of approaches (see, e.g., Beghdadi and Khellaf, 1997;Chen et al, 1999;Eng and Ma, 2001). Recent Figure 5.…”

Section: Proposed Methodsmentioning

confidence: 99%

Adaptive video filtering framework

Lukáč

Fischer

Motyl

et al. 2004

Int J Imaging Syst Tech

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“…BOUNDARY CONCEPT A clear and comprehensive treatment of the uncertainty law, local information measure, and impulse detection boundary concept can be found in texts in ([10]- [12]). Here, only a brief review is provided.…”

Section: Local Information Measure and Impulse Detectionmentioning

confidence: 99%

“…A.Beghdadi and A. Khellaf ([11], [12]) proposed a noise-filtering method using local information measure as follows:…”

Section: A Review Of Local Information Measurementioning

confidence: 99%

Restoration of Highly Impulses Corrupted Color Image by Local Entropy Measure

You

2014

2014 International Symposium on Computer, Consumer and Control

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This paper proposes an effective scheme using local entropy measure to restore highly salt-pepper impulses up to 99% corrupted colour image. A local information measure to restore impulses corrupted image had been proposed before. Its restoration quality is not satisfactory at high impulse densities. The proposed algorithm presents significant quality of restored image than above proposed method not only for grey images but also for colour images. In addition, its preservation of edges and details is superior at high impulse densities, also, this scheme presents good empirical results by both the visual quality and quantitative performances in terms of peak signal to noise ratio (PSNR) and normalized colour difference (NCD) .

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“…The efficiency and robustness of the switching filter depends on how well the noise detector can differentiate between various types of noises within the given digital media. In case of estimator [7][8][9][10][11], we are employing a rank order filter as a denoising filter. A filter whose the output value depends on the ranking of the pixels according to their grey values inside the filter window is called rank order filter.…”

Section: Introductionmentioning

confidence: 99%

A Novel Weighted Median Switching Filter for Denoising Corrupted Images

Agrawal¹,

Yadav²,

C³

2013

IJCA

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This paper presents a new weighted switching median filter is proposed to restore images corrupted by noise. The neighborhood of a pixel is classified into low corrupted, medium corrupted and highly corrupted regions. Based on this classification the weights associated with the median filter employed for denosing is determined. In addition, switching mechanism allows the use of different weights for different regions based on localized statistics. The proposed algorithm can be applicable to digital images with most of the fine details of the image are mostly preserved. The simulation analysis would shows that the proposed method is good for noise reduction and image restoration.

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A noise-filtering method using a local information measure

Cited by 56 publications

References 19 publications

Adaptive video filtering framework

Adaptive video filtering framework

Restoration of Highly Impulses Corrupted Color Image by Local Entropy Measure

A Novel Weighted Median Switching Filter for Denoising Corrupted Images

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