An adaptive decision based kriging interpolation algorithm for the removal of high density salt and pepper noise in images

Varatharajan, R.; Vasanth, K.; Gunasekaran, M.; Kumar, Priyan Malarvizhi; Gao, Xihe

doi:10.1016/j.compeleceng.2017.05.035

Cited by 78 publications

(30 citation statements)

References 16 publications

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“…In order to further demonstrate the effectiveness of the proposed filter, the proposed filter is compared with some state-of-the-art filters for noise removal as the adaptive weighted mean (AWM) filter [ 22 ], the adaptive decision based kriging interpolation (ADKI) filter [ 23 ], the adaptive iterative fuzzy (AIF) filter [ 29 ] and the adaptive Type-2 fuzzy (ATF) filter [ 31 ]. Table 5 presents the performance comparisons for the different filters in terms of PSNR for Lena image.…”

Section: Resultsmentioning

confidence: 99%

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A two-stage filter for removing salt-and-pepper noise using noise detector based on characteristic difference parameter and adaptive directional mean filter

Nie

2018

PLoS ONE

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In this paper, a two-stage filter for removing salt-and-pepper noise using noise detector based on characteristic difference parameter and adaptive directional mean filter is proposed. The first stage firstly detects the noise corrupted pixels by combining characteristic difference parameter and gray level extreme, then develops an improved adaptive median filter to firstly restore them. The second stage introduces a restoration scheme to further restore the noise corrupted pixels, which firstly divides them into two types and then applies different restoration skills for the pixels based on the classification result. One type of pixels is restored by the mean filter and the other type of pixels is restored by the proposed adaptive directional mean filter. The new filter firstly adaptively selects the optimal filtering window and direction template, then replaces the gray level of noise corrupted pixel by the mean value of pixels on the optimal template. Experimental results show that the proposed filter outperforms many existing main filters in terms of noise suppression and detail preservation.

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Section: Resultsmentioning

confidence: 99%

“…The SM filter has a major drawback that the size of filtering window is fixed in the noise detection stage, which cannot effectively detect all noise corrupted pixels. In order to improve the image restoration result, many modified filters have been developed [ 21 – 23 ].…”

Section: Introductionmentioning

confidence: 99%

A two-stage filter for removing salt-and-pepper noise using noise detector based on characteristic difference parameter and adaptive directional mean filter

Nie

2018

PLoS ONE

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“…Gupta et al [24] introduced a novel de-noising scheme based on adaptive dual thresholds and simple median filter. Varatharajan et al [25] proposed a high density salt and pepper noise removal method based on kriging interpolation. The noise pixel is replaced by a value which is interpolated using the weights calculated using semi-variance between the noise pixel and the non-noisy pixels.…”

Section: Related Workmentioning

confidence: 99%

“…To show advantage, we compare the proposed algorithm with some notable algorithms, i.e., direction extraction method, 3 × 3 median filter, and the methods [8], [9], [10], [11], [13], [14], [16], [17], [18], [24], [25], [26]. In the experiments, we embed different secret images into various cover images, add salt and pepper noise with different densities to the stego-images, and recover the embedded images from the corrupted stego-images.…”

Section: B Performance Comparisonsmentioning

confidence: 99%

Noise Removal in Embedded Image With Bit Approximation

Zhang

Tang

et al. 2022

IEEE Trans. Knowl. Data Eng.

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Stego-images are often contaminated by interchannel noise or active noise attack when communicating on the Web. And it is challenging to restore embedded image from corrupted stego-image. This paper studies a kNN-bit approximation algorithm to remove noises in embedded image. The proposed algorithm distinguishes reliable bits from extracted bits, and estimates pixel values by keeping reliable bits unchanged and correcting unreliable bits. Specifically, the 8 th (highest) unreliable bit of a pixel can be approximated with its nearest neighbor pixels. And then, if an unreliable bit locates at any one of the 5 th ∼ 7 th bits of a pixel, it is adjusted with two nearest neighbors of the pixel, where the pixel is in-between these two nearest neighbors. Finally, for other unreliable bits, each one is approximated by the maximum and minimum possible values of nearest neighbors of its pixel. We conduct experiments for illustrating the efficiency, and demonstrate that the proposed algorithm can recover the embedded images with good visual quality from corrupted stego-images.

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“…Complex procedures and challenges are involved in the dengue control strategies ; Thota et al 2018), and the selection of the optimal dengue prevention and control strategy depends on people, space and time. Medical providers and health care administrators endeavor to reduce the operational and maintenance costs for prevention and control of dengue fever (Varatharajan et al 2017a;Varatharajan et al 2017b;Varatharajan et al 2017c). The expenditure and demand for healthcare are also increasing rapidly.…”

Section: Introductionmentioning

confidence: 99%

An intelligent decision support system to prevent and control of dengue

Lopez

Manogaran

Varatharajan

et al. 2018

J Ambient Intell Human Comput

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Demographic shifts, social behavior modification, and climate change enhance the risk of dengue outbreaks globally. The Government of India has developed prevention and control strategies for dengue fever. We propose an intelligent decision support system based on multi-criteria decision analysis to improve strategic decision making among various alternatives, such as vaccination, disease surveillance, vector control, improved sanitation and access to safe drinking water, strengthening public health activities, awareness creation, and improving nutrition for women and children. The proposed alternatives are selected based on people, space and time criteria, such as low temperature and heavy rain, high temperature and high humidity, rainfall and water accumulation, resources and facilities, sociocultural and sociodemographic variables. The selection of alternatives based on multiple criteria is a complex decision-making problem. Policy and decision makers use linguistic terms to give their opinions and perspectives. We used the fuzzy logic based VIKOR (VIsekriterijumska optimizacija i KOmpromisno Resenje) method to analyze the linguistic terms collected from policy and decision makers to rank the optimal alternatives based on multiple criteria.

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An adaptive decision based kriging interpolation algorithm for the removal of high density salt and pepper noise in images

Cited by 78 publications

References 16 publications

A two-stage filter for removing salt-and-pepper noise using noise detector based on characteristic difference parameter and adaptive directional mean filter

A two-stage filter for removing salt-and-pepper noise using noise detector based on characteristic difference parameter and adaptive directional mean filter

Noise Removal in Embedded Image With Bit Approximation

An intelligent decision support system to prevent and control of dengue

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