A median filter based on the proportion of the image variance

Pang, Jianhua; Zhang, Sheng; Zhang, Shaojun

doi:10.1109/itnec.2016.7560332

Cited by 8 publications

(3 citation statements)

References 15 publications

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“…In this paper, we suggest that the proposed evaluation technique has a similar effect on the performance by varying the window size. The simple proportion mathematics shown in Figure 3 can be represented as (4…”

Section: New Evaluation Technique: Proportional Checkmentioning

confidence: 99%

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Modified Pixels Based Fast Median Filter in Impulse Noise Environments

Lee¹,

Shin²

2018

IJEECS

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<p>This paper proposes a modified pixel-based fast median filter (MP-FMF) for impulse noise environments. The key idea behind MP-FMF is the reduction in the processing time by using modified pixels. It consists of three steps, namely, error detection, threshold decision, and noise mitigation. The presence of noise is detected by using modified pixels that include a cyclic redundancy check (CRC) function. Subsequently, the threshold values are decided by estimating the noise density. For noise mitigation, corrupted pixels are corrected with the neighboring pixels based on the principle of the median filter. The MP-FMF has a fast processing time and provides image quality correction and introduces features when the noise density is high. In addition, we introduce a new evaluation metric and investigate the performance of the proposed algorithm in terms of the quality, features, and computation time.</p>

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Section: New Evaluation Technique: Proportional Checkmentioning

confidence: 99%

“…In particular, filtering provides better quality visuals and overcomes the noise problem. The details of this are mentioned in [4]. Algorithms for filtering for achieving better results have already been suggested in digital image processing.…”

Section: Introductionmentioning

confidence: 99%

Modified Pixels Based Fast Median Filter in Impulse Noise Environments

Lee¹,

Shin²

2018

IJEECS

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“…salt), whereas the noise with minimum value appears as a black dot (i.e. pepper) [5,6]. This type of impulse noise can severely degrade the quality of the image, which * Correspondence: haidi_ibrahim@ieee.org may affect subsequent processes such as segmentation, detection, and classification, due to information lost [2].…”

Section: Introductionmentioning

confidence: 99%

Improvement of quantized adaptive switching median filter for impulse noise reduction in gray-scale digital images

Ibrahim¹,

Abdalameer²

2019

Turk J Elec Eng & Comp Sci

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Digital images may suffer from fixed value impulse noise due to several causes. The noise significantly degrades the quality of the image, which may affect the subsequence image processing. Therefore, a noise reduction technique is required to restore the image. In this paper, a new method, which is called improvement of quantized adaptive switching median filter (IQASMF), has been proposed to reduce the fixed value impulse noise from gray-scale digital images. The implementation of IQASMF has five processing blocks. The first processing block is the noise detection block, where the noise pixel candidates are detected based on the intensity value. Then estimation of the local noise density is done by the second processing block. Next, the third processing block filters the corrupted pixel candidates with filters of predefined size, depending on the local noise density. After that, the noise mask is updated in the fourth processing block. Finally, the fifth processing block processes the noise residuals from the third processing block by using a size adaptive filter.Experimental results from twenty standard gray-scale images of various sizes have shown that IQASMF has the ability to restore images for up to 99% of the impulse noise corruption. As compared with the other five median filter-based methods, from the measures of mean squared error (MSE) and structural similarity index (SSIM), it is shown that the performance of IQASMF is equivalent to the performance of other methods at low and medium levels of corruption.However, at high corruption levels, IQASMF has demonstrated the best performance in terms of MSE and SSIM. The outputs from IQASMF also have the best visual appearance.

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Reduction of Salt-and-Pepper Noise from Digital Grayscale Image by Using Recursive Switching Adaptive Median Filter

Taha

Ibrahim

2019

Lecture Notes in Mechanical Engineering

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A median filter based on the proportion of the image variance

Cited by 8 publications

References 15 publications

Modified Pixels Based Fast Median Filter in Impulse Noise Environments

Modified Pixels Based Fast Median Filter in Impulse Noise Environments

Improvement of quantized adaptive switching median filter for impulse noise reduction in gray-scale digital images

Reduction of Salt-and-Pepper Noise from Digital Grayscale Image by Using Recursive Switching Adaptive Median Filter

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