Contourlet transform based adaptive nonlinear diffusion filtering for speckle noise removal in ultrasound images

Jubairahmed, L.; Satheeskumaran, S.; Venkatesan, C.

doi:10.1007/s10586-017-1370-x

Cited by 24 publications

(7 citation statements)

References 19 publications

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“…The proposed approach has been validated using simulated and authentic ultrasound images. For all cases, we compare our approach with the BM3D [ 21 ] method, SD-BM3D method (Hellinger distance) [ 26 ], DLRA method [ 9 ], K-SVD [ 14 ] method, and Contourlet-based method (CLT) [ 17 ], which have been described in Section 1 . However, each filter has been stated with different parameters in the reports mentioned above, managing the compensation between smoothing and detail preservation; thus, a rule can not be set to determine the optimum set of parameters to be used in general.…”

Section: Resultsmentioning

confidence: 99%

“…However, their results tended to modify the intensity of the pixels. Jubairhamed et al [ 17 ] proposed a despeckling method in the anisotropic diffusion scheme. They utilized contourlet for thresholding the speckled pixels; nevertheless, the initial decomposition levels of the transformation approximate the original image, but the last decomposition level presents little relevance to the original image.…”

Section: Introductionmentioning

confidence: 99%

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Despeckling of Ultrasound Images Using Block Matching and SVD in Sparse Representation

Reyes-Reyes

Aranda-Bojorges

Garcia-Salgado

et al. 2022

Sensors

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This work proposes a novel scheme for speckle suppression on medical images acquired by ultrasound sensors. The proposed method is based on the block matching procedure by using mutual information as a similarity measure in grouping patches in a clustered area, originating a new despeckling method that integrates the statistical properties of an image and its texture for creating 3D groups in the BM3D scheme. For this purpose, the segmentation of ultrasound images is carried out considering superpixels and a variation of the local binary patterns algorithm to improve the performance of the block matching procedure. The 3D groups are modeled in terms of grouped tensors and despekled with singular value decomposition. Moreover, a variant of the bilateral filter is used as a post-processing step to recover and enhance edges’ quality. Experimental results have demonstrated that the designed framework guarantees a good despeckling performance in ultrasound images according to the objective quality criteria commonly used in literature and via visual perception.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Despeckling of Ultrasound Images Using Block Matching and SVD in Sparse Representation

Reyes-Reyes

Aranda-Bojorges

Garcia-Salgado

et al. 2022

Sensors

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show abstract

“…These spurs are the effects of variations that happen in voltage after PFD and current variations after CP (Temporiti Milani et al , 2004). Time reduction pulse in equation (5), resets PFD and a constant charge is provided to low pass filter effects the voltages of oscillator frequency in VCO leads to fractional spurs which increases phase noises (Zhang et al , 2019; Venkatesan and Karthigaikumar, 2018; Jubairahmed et al , 2017). PFD designed with zero dead zones improves the phase noises with reduction of spurs (Kong and Razavi, 2017).…”

Section: Noise Analysismentioning

confidence: 99%

Efficient techniques of fractional-N PLL for pervasive wireless applications

Abdul

Nelakuditi

2022

IJPCC

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Purpose The purpose of this paper to ensure the rapid developments in the radio frequency wireless technology, the synthesis of frequencies for pervasive wireless applications is crucial by implementing the design of low voltage and low power Fractional-N phase locked loop (PLL) for controlling medical devices to monitor remotely patients. Design/methodology/approach The developments urge a technique reliable to phase noise in designing fractional-N PLL with a new eight transistor phase frequency detector and a good linearized charge pump (CP) for speed of operation with minimum mismatches. Findings In applications for portable wireless devices, by proposing a new phase-frequency detector with the removal of dead, blind zones and a modified CP to minimize the mismatch of currents. Originality/value The results are simulated in 45 nm complementary metal oxide semiconductor generic process design kit (GPDK) technology in cadence virtuoso. The phase noise of the proposed Fractiona-N phase locked loop has–93.18, –101.4 and –117 dBc/Hz at 10 kHz, 100 kHz and 1 MHz frequency offsets, respectively, and consumes 3.3 mW from a 0.45 V supply.

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“…Compared with traditional image segmentation methods, the active contour model can accurately achieve segmentation accuracy and can also be more easily expressed in terms of energy generalization and ensure the clarity of the image shape, intensity distribution, and other attributes [7]. Jubairahmed et al first proposed the famous snake model, which is a segmentation model based on boundary detection, and the idea is to obtain the final segmentation curve by solving for the minimum of the geometric measure [8]. The main idea is to transform the boundary problem into a zero-level set of higher onedimensional functions, which finally reduces to solving partial differential equations.…”

Section: Related Workmentioning

confidence: 99%

“…When the Euclidean distance of (m 0 , n 0 ) from (m 1 , n 1 ) is near zero, the arc length is equivalent to Equation (8).…”

Section: Advances In Mathematical Physicsmentioning

confidence: 99%

Image Texture Analysis and Edge Detection Algorithm Based on Anisotropic Diffusion Equation

Li¹

2021

Advances in Mathematical Physics

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This paper uses partial differential equation image processing techniques to establish image texture analysis models based on nonlinear anisotropic diffusion equations for image denoising, image segmentation, and image decomposition. This paper proposes a class of denoising models based on the hybrid anisotropic diffusion equation from the characteristics of different noise types. The model exhibits anisotropic diffusion near the image boundary, which can protect the boundary well, and isotropic diffusion inside the image; so, it can remove the noise effectively. We use the immovable point theory to prove the uniqueness of the model solution and further discuss other properties such as asymptotics of the solution. We propose a class of image texture analysis algorithms based on anisotropic diffusion equations and discrete gray level sets. First, a class of nonconvex generalized functions is proposed to remove the noise from the original image to obtain a smooth image while sharpening the edges. Then, an energy generalization function based on the gray level set is proposed, and the existence of the global minimum of this energy generalization function is discussed. Finally, an equivalent form of this energy generalization is given in the discrete case, and an image texture analysis algorithm is designed based on the equivalent form. The algorithm is improved by initial position optimization, dynamic adjustment of parameters, and adaptive selection of thresholds so that the ants can search along the real edges. Experiments show that the improved algorithm for image edge detection can obtain more complete edges and better detection results. The energy generalization function is calculated directly on the discrete gray level set instead of solving the corresponding partial differential equation, which can avoid the selection of the initial level set and the reinitialization of the level set, thus greatly improving the segmentation efficiency. The new algorithm has a high improvement in segmentation efficiency and can efficiently handle large size complex images.

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Contourlet transform based adaptive nonlinear diffusion filtering for speckle noise removal in ultrasound images

Cited by 24 publications

References 19 publications

Despeckling of Ultrasound Images Using Block Matching and SVD in Sparse Representation

Despeckling of Ultrasound Images Using Block Matching and SVD in Sparse Representation

Efficient techniques of fractional-N PLL for pervasive wireless applications

Image Texture Analysis and Edge Detection Algorithm Based on Anisotropic Diffusion Equation

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