A SAR Image Despeckling Method Based on an Extended Adaptive Wiener Filter and Extended Guided Filter

Salehi, H.; Vahidi, Javad; Abdeljawad, Thabet; Khan, Aziz; Rad, Seyed Yaser Bozorgi

doi:10.3390/rs12152371

Cited by 29 publications

(14 citation statements)

References 41 publications

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“…Therefore, other algorithms can be applied specifically to each application, e.g., matched filter, Wiener filter, adaptive wiener filter, Tikhonov regularization, Richardson–Lucy algorithm, etc. [ 36 , 37 , 38 , 39 ].…”

Section: Resultsmentioning

confidence: 99%

Reduction in Irradiation Dose in Aperture Coded Enhanced Computed Tomography Imager Using Super-Resolution Techniques

Danan¹,

Avraham²,

Zalevsky

2020

Sensors

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One of the main concerns regarding medical imaging is the danger tissue’s ionizing due to the applied radiation. Many medical procedures are based on this ionizing radiation (such as X-rays and Gamma radiation). This radiation allows the physician to perform diagnosis inside the human body. Still, the main concern is stochastic effects to the DNA, particularly the cause of cancer. The radiation dose endangers not only the patient but also the medical staff, who might be close to the patient and be exposed to this dangerous radiation in a daily manner. This paper presents a novel concept of radiation reduced Computed Tomography (CT) scans. The proposed concept includes two main methods: minification to enhance the energy concertation per pixel and subpixel resolution enhancement, using shifted images, to preserve resolution. The proposed process uses several pinhole masks as the base of the imaging modality. The proposed concept was validated numerically and experimentally and has demonstrated the capability of reducing the radiation efficiency by factor 4, being highly significant to the world of radiology and CT scans. This dose reduction allows a safer imaging process for the patient and the medical staff. This method simplifies the system and improves the obtained image quality. The proposed method can contribute additively to standard existing dose reduction or super-resolution techniques to achieve even better performance.

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Section: Resultsmentioning

confidence: 99%

Reduction in Irradiation Dose in Aperture Coded Enhanced Computed Tomography Imager Using Super-Resolution Techniques

Danan¹,

Avraham²,

Zalevsky

2020

Sensors

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“…The performance evaluation of the proposed method is compared with other pre-existing methods which are presented in the literature. [15][16][17][18]24,28,33,34,35,37,38,39,43 It has been appraised in terms of qualitative as well quantitative evaluation on real ultrasound breast images. The strength of proposed method is also validated on synthetic image.…”

Section: Discussionmentioning

confidence: 99%

“…The proposed method performance is measured with respect to qualitative valuation and quantitative valuation like PSNR, SSIM, UIQI, and RMSE. Salehi et al 38 have proposed a despeckling method for synthetic aperture radar (SAR) images. This method is combinational and extended form of adaptive wiener and guided filter; along with a weighted least squares filter.…”

Section: Introductionmentioning

confidence: 99%

Restoration and enhancement of breast ultrasound images using extended complex diffusion based unsharp masking

Kumar

Srivastava

2021

Proc Inst Mech Eng H

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Ultrasound is a well-known imaging modality for the interpretation of breast cancer. It is playing very important role for breast cancer detection that are missed by mammograms. The image acquisition is usually affected by the presence of noise, artifacts, and distortion. To overcome such type of issues, there is a need of image restoration and enhancement to improve the quality of image. This paper proposes a single framework for denoising and enhancement of ultrasound images, where a smoothing filter is replaced with an extended complex diffusion-based filter in an unsharp masking technique. The performance evaluation of the proposed method is tested on real ultrasound breast cancer images database and synthetic ultrasound image. The performance evaluation comprises qualitative and quantitative evaluation along with comparative analysis of pre-existing and proposed method. The quantitative evaluation metrics are mean squared error, peak-signal-to-noise ratio, correlation parameter, normalized absolute error, universal quality index, similarity structure index, edge preservation index, a measure of enhancement, a measure of enhancement by entropy, and second derivative like measurement. The result specifies that the proposed method is better suited approach for the removal of speckle noise which follows Rayleigh distribution, restoration of information, enhancement of abnormalities, and proper edge preservation.

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“…Common frequency-domain filtering methods include wavelet denoising [5], high-pass filtering, Wiener filtering [6], etc. e spatial filtering methods are also rich, such as partial differential equations, variational methods [7], statistical methods [8], and so on, which are widely used in practical applications.…”

Section: Introductionmentioning

confidence: 99%

Image Denoising Based on Improved Gaussian Mixture Model

Hui

Zheng

2021

Scientific Programming

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An image denoising method is proposed based on the improved Gaussian mixture model to reduce the noises and enhance the image quality. Unlike the traditional image denoising methods, the proposed method models the pixel information in the neighborhood around each pixel in the image. The Gaussian mixture model is employed to measure the similarity between pixels by calculating the L2 norm between the Gaussian mixture models corresponding to the two pixels. The Gaussian mixture model can model the statistical information such as the mean and variance of the pixel information in the image area. The L2 norm between the two Gaussian mixture models represents the difference in the local grayscale intensity and the richness of the details of the pixel information around the two pixels. In this sense, the L2 norm between Gaussian mixture models can more accurately measure the similarity between pixels. The experimental results show that the proposed method can improve the denoising performance of the images while retaining the detailed information of the image.

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A SAR Image Despeckling Method Based on an Extended Adaptive Wiener Filter and Extended Guided Filter

Cited by 29 publications

References 41 publications

Reduction in Irradiation Dose in Aperture Coded Enhanced Computed Tomography Imager Using Super-Resolution Techniques

Reduction in Irradiation Dose in Aperture Coded Enhanced Computed Tomography Imager Using Super-Resolution Techniques

Restoration and enhancement of breast ultrasound images using extended complex diffusion based unsharp masking

Image Denoising Based on Improved Gaussian Mixture Model

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