Real-Time Color Image Processing Using Order Statistics Filters

Ponomaryov, Volodymyr; Gallegos-Funes, Francisco J.; Rosales, Alberto

doi:10.1007/s10851-005-2025-8

Cited by 22 publications

(15 citation statements)

References 4 publications

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“…The described VMML filter with the simple cut (S) and Andrew's sine (A) influence functions, the exponential (E), Laplacian (L), and uniform (U) distribution functions and, the impulsive noise detector (D) and without it (ND) has been evaluated, and its performance has been compared with vector median (VM), α-trimmed mean (α-TM), basic vector directional (BVD), generalized vector directional (GVD), adaptive GVD (AGVD), double window GVD (GVD_DW), multiple non-parametric (MAMNFE), vector median M-type K-nearest neighbor (VMMKNN), and fast adaptive similarity VM (FASVM) filters [4,10,11,12].…”

Section: Simulation Resultsmentioning

confidence: 99%

Vector Median M-Type L Filter to Process Multichannel Images

Toledo-Lopez

Gallegos-Funes

Ponomaryov

2008

Lecture Notes in Computer Science

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Abstract. The Vector Median M-type L (VMML) -filter to remove impulsive noise from color images and video color sequences is presented. This filter utilizes multichannel image processing by using the vector approach and the Median M-Type L (MML) algorithm. Simulation results indicate that the proposed filter consistently outperforms other color image filters by balancing the tradeoff between noise suppression, detail preservation, and color retention.

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Section: Simulation Resultsmentioning

confidence: 99%

Vector Median M-Type L Filter to Process Multichannel Images

Toledo-Lopez

Gallegos-Funes

Ponomaryov

2008

Lecture Notes in Computer Science

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“…Other versions of Rank M-type K-Nearest Neighbor filters are given as follows (GallegosFunes et al, 2005;Ponomaryov et al, 2005),…”

Section: Rank M-type Knn Filtersmentioning

confidence: 99%

Rank M-type Filters for Image Denoising

Gallegos‐Funes¹,

Rosales²

2009

Image Processing

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“…However, when all pixels of W are affected, for example by additional Gaussian noise, the output is also noisy. Numerous solutions devoted to the elimination of this undesired behavior were introduced, resulting in significantly better filtering performance [12][13][14][15]. To increase the VMF efficiency, weights are assigned to the distances between pixels, which privilege the central pixel of the filtering window, thus diminishing the number of unnecessarily altered pixels [16,17].…”

Section: Introductionmentioning

confidence: 99%

Fast adaptive switching technique of impulsive noise removal in color images

Maliński

Smołka

2016

J Real-Time Image Proc

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In the paper, a family of switching filters designed for the impulsive noise removal in color images is analyzed. The framework of the proposed denoising techniques is based on the concept of cumulated distances between the processed pixel and its neighbors. To increase the filtering efficiency, a robust scheme, in which the sum of distances to only the most similar pixels of the neighborhood serves as a measure of impulsiveness, was elaborated. As this trimmed measure is dependent on the image local structure, an adaptive mechanism was also incorporated. Additionally, a very fast design, which enables image denoising in practical applications, is proposed and the choice of the filter output, which is used to replace the noisy pixels, is discussed. The described family of filters was evaluated on a large set of natural test images and compared with the state-of-the-art restoration methods. The analysis of the achieved results shows that the novel filters outperform the existing techniques in terms of both denoising accuracy and computational complexity. In this way, the proposed techniques can be recommended for the application in various image and video enhancement tasks.

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Real-Time Color Image Processing Using Order Statistics Filters

Cited by 22 publications

References 4 publications

Vector Median M-Type L Filter to Process Multichannel Images

Vector Median M-Type L Filter to Process Multichannel Images

Rank M-type Filters for Image Denoising

Fast adaptive switching technique of impulsive noise removal in color images

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