Nonlinear Techniques for Color Image Processing

Smołka, Bogdan; Plataniotis, N; Venetsanopoulos, A.N.

doi:10.1201/9780203010419.ch12

Cited by 40 publications

(34 citation statements)

References 116 publications

(166 reference statements)

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“…Noise filtering techniques in color images can be divided into two classes [29] as Component-wise methods and Vector methods. In component wise methods, the three primary color channels R, G and B are considered to be independent for filtering of noise and later they are combined to generate the filtered version of the color image.…”

Section: Noise Removal In Color Imagesmentioning

confidence: 99%

“…Practical Color image denoising applications choose either of these approaches depending on the requirements. Most commonly used vector filters for noise removal in color images are the Vector Directional filter (VDF) [24] and the Directional Distance Filter (DDF) [25], Vector Median Filter (VMF) and those reported in [26], [27], [28] and [29]. It is also observed that the use of fixed value of threshold is not the ultimate solution for denoising of different types of images and ideally it should be changed adaptively according to the contents of the filtering window [9], [15], [16], and [18].…”

Section: Introductionmentioning

confidence: 99%

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A novel adaptive tolerance filter for random valued impulse noise suppression in digital grey and color images

Hanji

Latte²

2015

JACST

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During acquisition, transmission, storage and retrieval, quite often digital images become noised and mask the important details of an image and also present themselves with an ugly look. Such images if not processed properly, become useless for subsequent image processing operations like segmentation, classification etc. Hence the quality improvement (through denoising) of such noisy images becomes an important operation in the field of image processing. This paper proposes a two stage detection-estimation based filtering system to suppress random valued impulse noise from digital grey and color images based on neighborhood statistics of pixels of the working window under consideration. An adaptive working window and the adaptive tolerance computed from the pixels belonging to the current filtering window facilitates an appropriate detection of noisy pixels in the first phase, followed by the simple and computationally efficient restoration strategy in the second stage. The Simulation results prove that the proposed scheme exhibits much superior performance in comparison with other state of art image filtering methods in suppressing the random valued impulse noise from the digital grey and color images.

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Section: Noise Removal In Color Imagesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A novel adaptive tolerance filter for random valued impulse noise suppression in digital grey and color images

Hanji

Latte²

2015

JACST

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“…In the first impulsive Noise Model denoted as NM1, the noisy pixels x i ¼ fx 1 i ; x 2 i ; x 3 i g are defined as [4,12,13] …”

Section: Impulsive Noise Modelsmentioning

confidence: 99%

“…The most widely used filtering approaches are based on the reduced vector ordering, which assigns a dissimilarity measure to each color pixel from the filtering window [1,4,6,[12][13][14]. The aggregated dissimilarity measure assigned to pixel x j is defined as…”

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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“…Numerous filters, which were elaborated to suppress the impulsive noise in color images, are based on order statistics (3)(4)(5) . These methods rely on the ordering of color pixels of the processing window W, which are treated as vectors.…”

Section: Introductionmentioning

confidence: 99%

Fast Technique of Impulsive Noise Suppression in Color Images

Smołka

2016

Proceedings of the 4th IIAE International Conference on Intelligent Systems and Image Processing 2016

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In this work a novel technique of impulsive noise removal in color images is proposed. The new approach is based on the calculation of costs of digital paths which link the central pixel of the processing window with its boundary. The minimum value of these costs serves as a measure of pixel impulsiveness. The output of the proposed filtering technique is a weighted average of the central pixel and its robust estimate, calculated utilizing the measures of corruption assigned to pixels in the local neighborhood.The experiments performed on a set of standard color images revealed a very high effectiveness of the new filtering design, comparable with the most efficient methods known from the literature. Additionally, the new filter is extremely fast and therefore it can be applied in real time image enhancement scenarios.

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Nonlinear Techniques for Color Image Processing

Cited by 40 publications

References 116 publications

A novel adaptive tolerance filter for random valued impulse noise suppression in digital grey and color images

A novel adaptive tolerance filter for random valued impulse noise suppression in digital grey and color images

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

Fast Technique of Impulsive Noise Suppression in Color Images

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