Adaptive and global optimization methods for weighted vector median filters

Lucat, Laurent; Siohan, Pierre; Barba, Dominique

doi:10.1016/s0923-5965(02)00023-1

Cited by 42 publications

(18 citation statements)

References 18 publications

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“…For this reason vector-based filtering methods are often preferred over component-wise filtering. Some commonly used vector filters for denoising of colour images include vector median filter (VMF) [12], vector directional filter (VDF) [13], directional distance filter DDF [14], and the generalized vector directional filter (GVDF) [15], etc.…”

Section: Introductionmentioning

confidence: 99%

Denoising of colour images using window contrast enhancement and vector alignment

Pandey

Ghanekar

2015

AEU - International Journal of Electronics and Communications

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Section: Introductionmentioning

confidence: 99%

Denoising of colour images using window contrast enhancement and vector alignment

Pandey

Ghanekar

2015

AEU - International Journal of Electronics and Communications

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“…Another family of techniques aimed at the improvement of the detail preservation of the filters based on reduced ordering is utilizing the concept of vector weighting, which privileges the central pixel of the processing window [50][51][52][53][54][55][56].…”

Section: Introductionmentioning

confidence: 99%

Adaptive rank weighted switching filter for impulsive noise removal in color images

Smołka

Malik

2012

J Real-Time Image Proc

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In this paper, a novel approach to the problem of impulsive noise removal in color digital images is presented. The described switching filter is based on the rank weighted, cumulated pixel dissimilarity measures, which are used for the detection of image samples contaminated by impulsive noise process. The introduced adaptive design enables the filter to tune its parameters to the amount of impulsive noise corrupting the image. The comparison with existing denoising schemes shows that the new technique more efficiently removes the impulses introduced by the noise process, while better preserving image details. An important feature of the new filter is its low computational complexity, which allows for its application in real-time applications.

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“…The first approach [26] uses two methods for optimizing the WVMF weights, adaptive to local image statistics and global ones. The reference [15] introduces a novel algorithm for impulsive noise suppression in color images, applying switching vector filter that analyzes the differences in the CIELAB color space and also preserves the thin lines and image edges.…”

Section: Introductionmentioning

confidence: 99%

Real-time 2D–3D filtering using order statistics based algorithms

Ponomaryov

2007

J Real-Time Image Proc

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The paper presents a review of the author's own results obtained in the last several years. Some examples of real-time processing of 2D and 3D images are described. In particular, we discuss the noise model and objective criteria that can be applied to characterize the performance of the processing algorithms. Several proposed algorithms based on RM approach are compared with other known ones, demonstrating the advantages in noise suppressing and preservation of fine image details and edges. A number of 2D and 3D image denoising filters are implemented on DSP, realizing real-time mode in the image processing. The performances of the proposed processing algorithms and the known ones are discussed and evaluated here.

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Adaptive and global optimization methods for weighted vector median filters

Cited by 42 publications

References 18 publications

Denoising of colour images using window contrast enhancement and vector alignment

Denoising of colour images using window contrast enhancement and vector alignment

Adaptive rank weighted switching filter for impulsive noise removal in color images

Real-time 2D–3D filtering using order statistics based algorithms

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