Speckle Noise Reduction of Ultrasound Images Using BFO Cascaded with Wiener Filter and Discrete Wavelet Transform in Homomorphic Region

Dass, Rajeshwar

doi:10.1016/j.procs.2018.05.118

Cited by 39 publications

(14 citation statements)

References 17 publications

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“…Recently, combination of algorithms is prevalently adopted in denoising ultrasound images. For example, an optimization algorithm cascaded with Weiner filter in [11], combination of wavelet and enhanced Kuan filter in [12], and combination of wavelet and bilateral filter in [13]. Most of the despeckling algorithms have certain demerits that has to be addressed.…”

Section: Related Workmentioning

confidence: 99%

A Comparison on Speckle Noise Suppression Algorithm for Intravascular Ultrasound (Ivus) Images

Archana¹,

Vanithamani²

2021

INDJCSE

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Accurate and reliable diagnosis of carotid artery stenosis depends on the quality of IVUS images. Especially in ultrasound images where coherent sources are involved, speckle noise causes blurring and loss of information. Thus, methods to eliminate speckle noise plays an essential part in the field of medical imaging. This paper compares various speckle noise suppression algorithms for carotid artery ultrasound images. Speckle noise reduction algorithms that are implemented includes Homomorphic Wavelet Level 1 and Level 2, Perona-Malik (PM) filter, Modified PM1, Modified PM2, Adaptive PM, Butterworth Filter, Doubly Degenerative Diffusion (DDD), Speckle Reducing Anisotropic Diffusion (SRAD) and Total Variance (TV) filter. A quantitative evaluation is carried out by estimating Signal to Noise Ratio (SNR), Peak Signal to Noise Ratio (PSNR), Structural Similarity Index (SSIM), Beta Metric and Natural Image Quality Evaluator (NIQE). The performance metrics shows that Homomorphic Wavelet Level1, Modified PM 2, Adaptive PM and SRAD are robust in eliminating speckle noise from carotid artery ultrasound images, thereby increasing its diagnostic accuracy. Though DDD and TV approach have good SNR and PSNR values, their low Beta metric and high NIQE values have made them ineffective.

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Section: Related Workmentioning

confidence: 99%

A Comparison on Speckle Noise Suppression Algorithm for Intravascular Ultrasound (Ivus) Images

Archana¹,

Vanithamani²

2021

INDJCSE

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“…SPN is an impulse or spike noise that pollutes image by adding dark pixels in bright regions and vice versa. SN is a commonly detected noise that arises due to the effects of environment on the imaging sensor during acquisition of ultrasound images [61].…”

Section: B Robustness Against Noise and Occlusion Attackmentioning

confidence: 99%

An Image Encryption Scheme Based on DNA Computing and Multiple Chaotic Systems

et al. 2020

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A number of techniques for securing plaintext, images and video frames have been developed in cryptography using jointly DNA computing and Chaos Theory. With the advancement of DNA/quantum computing, the threats of security breaches to information have an increasing possibility. In this paper, we propose a symmetric encryption algorithm for color images by extending the current encryption/decryption techniques. Our encryption algorithm is based on three chaotic systems (PWLCM, Lorenz and 4D Lorenz-type), a Secure Hash Algorithm, a scrambler, a chaotic generator and DNA sequence based Linear Feedback Shift Register. We introduce multilevel security to increase the degree of diffusion and confusion. Through experiments, we present security analysis for key irreproducibility and sensitivity, Gray Level Co-occurrence Matrix based analysis, maximum deviation, irregular deviation, entropy, histogram, variance and correlation, number of pixel change rate, unified average cipher intensity, known/chosenplaintext attacks, mean absolute error, robustness against noises of various types using PSNR and occlusion attacks. It is demonstrated that mostly our proposed encryption algorithm has enhanced performance as compared to contemporary works in information security, while comparable in other cases. INDEX TERMS Bit scrambling, chaotic generator, DNA sequence based linear feedback shift register, DNA encoding, hypechaos, secure hash algorithm.

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“…For a long time, the traditional discrete cosine transform (DCT) encoding image compression method has shortcomings, such as the compression efficiency of the image is not high, the compressed image needs to be decomposed into pixel blocks to bring inevitable block effect, and so on [19]. However, with the advent of wavelet conversion, defects such as the square effect described above have been effectively rectified [8]. In the application of multimedia image compression, wavelets maintain energy in orthogonal performance, and symmetry is suitable for the visual system of the human eye, and makes the signal easy to process at the boundary [20], [21].…”

Section: Related Workmentioning

confidence: 99%

“…transmission to be implemented in a more flexible manner, and has more options for image compression transmission technology. In order to save network bandwidth resources, some researchers have proposed various methods to reduce data transmission in different environments, which are mainly manifested in edge cloud collaboration and model compression [7], [8]. The reason why wavelets have great advantages in the field of signal processing is that wavelets conversion can obtain a multi-resolution description of the signal, and having a rich wavelet basis to adapt to signals with different characteristics, which has become a powerful tool for analyzing and studying non-stationary signals [9], [10].…”

Section: Introductionmentioning

confidence: 99%

Multimedia Image Compression Method Based on Biorthogonal Wavelet and Edge Intelligent Analysis

Liu

2020

IEEE Access

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At present, network image communication is still restricted by channel coding, image and multimedia transmission and other key technologies. Therefore, the transmission process needs to convert the image signal into a digital signal, and then use the relevant band compression technology to reduce these signals to narrow the occupied frequency band, that is, to reduce the amount of information to be transmitted in synchronous transmission. Wavelet transform is a powerful tool for image compression because of its low entropy, multi-resolution, decorrelation and flexible base selection. In this paper, a method of multimedia image compression based on biorthogonal wavelet packet is proposed, which includes the establishment of linear phase biorthogonal wavelet basis, the selection of 3 or 4 levels of wavelet decomposition and reconstruction stage, and the combination of improved band division and preservation strategy. Finally, a compression test is performed based on the selected wavelet basis function and the optimal decomposition and reconstruction layers of the standard test image, which enables to obtain a more ideal compression ratio. INDEX TERMS Multimedia image compression, biorthogonal wavelet, multimedia transmission, discrete cosine transform.

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Speckle Noise Reduction of Ultrasound Images Using BFO Cascaded with Wiener Filter and Discrete Wavelet Transform in Homomorphic Region

Cited by 39 publications

References 17 publications

A Comparison on Speckle Noise Suppression Algorithm for Intravascular Ultrasound (Ivus) Images

A Comparison on Speckle Noise Suppression Algorithm for Intravascular Ultrasound (Ivus) Images

An Image Encryption Scheme Based on DNA Computing and Multiple Chaotic Systems

Multimedia Image Compression Method Based on Biorthogonal Wavelet and Edge Intelligent Analysis

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