Modified switching median filter for impulse noise removal

Wang, Gaihua; Li, Dehua; Pan, Weimin; Zang, Zhaoxiang

doi:10.1016/j.sigpro.2010.05.026

Cited by 74 publications

(30 citation statements)

References 14 publications

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“…One of the most popular contamination models is the so called color salt & pepper noise [51][52][53], which assumes that a fraction of the image pixels denoted as p is corrupted in such a way that the RGB channels are assigned either the minimum or maximum value of the …”

Section: Adaptive Switching Filtering Designmentioning

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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Section: Adaptive Switching Filtering Designmentioning

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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“…After the application of different variants of SAM filter, the conclusion was drawn that among these filters Circular SAM filter was complex to implement with overhead of increased execution time. In [6] a modified version of median filter which can be applied on colored images preserving edge pixel information of an object was proposed. Different types of blind deconvolution techniques for motion removal and blurred image restoration are described in detail in [7][8].…”

Section: Related Workmentioning

confidence: 99%

“…2-D Median filter is [m × n] nonlinear filter [5][6] and is more effective then convolution and preserve edge information more effectively. Instead of applying 2-D globally, a modified version is used, in which first three basic channels of colored picture are extracted and then to every channel 2-D median filter is applied.…”

Section: Noise Removal Modulementioning

confidence: 99%

Image Enhancement for the 3-D Reconstruction in the Uncontrolled Environment using Shape from Silhouette

Sohaib¹,

Ahmed²,

Minallah³

2013

IJCA

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Among the multiple models for 3-D shape reconstruction, Shape from silhouette (SFS) is one of the fast and simple 3D shape rendering techniques as compare to other approaches. In SFS model multiple images captured from different viewpoints in a controlled environment are used as input data at the front end to extract silhouette and are free of noises. Silhouette extraction from such well-defined input data is easy and accurate, having no loss of information while extracting the silhouette. On the other hand images from uncontrolled environment involve many degradation factors. Common and frequently degradation factors are motion blur and noise addition which effects acquired image quality, illumination and resolution seriously. The proposed work is an effort to extract useful information from such environmentally variant images. The successful reconstruction of the image is main emphasis.

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“…And defining a robust decision threshold is difficult. To reduce misclassification in switching median filters, a new fuzzy decision was proposed based on our paper [18]. It uses fuzzy membership value to describe the property of pixels.…”

Section: Introductionmentioning

confidence: 99%

“…This paper is organized as follows. In Section 2 there is a brief introduction about the impulse noise models used in our paper [18]. Section 3 describes the proposed method in detail.…”

Section: Introductionmentioning

confidence: 99%