Speckle Noise Reduction of Ultrasound Images Using BFO Cascaded with Wiener Filter and Discrete Wavelet Transform in Homomorphic Region
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TLDR
A new approach for denoising of highly distorted images affected by speckle noise is proposed using bacterial foraging optimization (BFO) cascaded with wavelet transform and wiener filter in a homomorphic framework and provides superior results in comparison to other techniques in form of peak signal to noise ratio (PSNR), Mean Absolute Error (MAE), clarity and preservation of finer details.About:
This article is published in Procedia Computer Science.The article was published on 2018-01-01 and is currently open access. It has received 36 citations till now. The article focuses on the topics: Speckle noise & Wiener filter.read more
Citations
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Journal ArticleDOI
Speckle Noise Reduction Technique for SAR Images Using Statistical Characteristics of Speckle Noise and Discrete Wavelet Transform
Hyunho Choi,Jechang Jeong +1 more
TL;DR: The experimental results reveal that the proposed method, in comparison to state-of the art methods, obtains excellent speckle noise removal, while preserving the edges and maintaining low computational complexity.
Journal ArticleDOI
An Image Encryption Scheme Based on DNA Computing and Multiple Chaotic Systems
Muhammad Samiullah,Waqar Aslam,Hira Nazir,M. Ikramullah Lali,Basit Shahzad,Muhammad Rafiq Mufti,Humaira Afzal +6 more
TL;DR: This paper proposes a symmetric encryption algorithm for color images by extending the current encryption/decryption techniques and introduces multilevel security to increase the degree of diffusion and confusion.
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Speckle Noise Removal by SORAMA Segmentation in Digital Image Processing to Facilitate Precise Robotic Surgery
TL;DR: In this article , the authors used Semantic Object Region and Morphological Analysis (SORAMA) to detect kidney stones in ultrasound images, which produces a smoothening effect on the image.
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Medical image denoising using optimal thresholding of wavelet coefficients with selection of the best decomposition level and mother wavelet
TL;DR: A novel approach for image denoising based on discrete wavelet transform (DWT) with the selection of the best decomposition level and mother wavelet and the inverse of DWT is applied to reconstruct the denoised image.
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A refined denoising method for noisy phase-shifting interference fringe patterns
TL;DR: A Denoising method based on a refined pre-trained deep learning networks that can perform an automatic denoising for the noisy fringe patterns according to its type and the experimental results show that the proposed method achieves high efficiency.
References
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Journal ArticleDOI
Adaptive wavelet thresholding for image denoising and compression
TL;DR: An adaptive, data-driven threshold for image denoising via wavelet soft-thresholding derived in a Bayesian framework, and the prior used on the wavelet coefficients is the generalized Gaussian distribution widely used in image processing applications.
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Biomimicry of bacterial foraging for distributed optimization and control
TL;DR: A computer program that emulates the distributed optimization process represented by the activity of social bacterial foraging is presented and applied to a simple multiple-extremum function minimization problem and briefly discusses its relationship to some existing optimization algorithms.
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An adaptive weighted median filter for speckle suppression in medical ultrasonic images
TL;DR: In this article, the adaptive weighted median filter (AWMF) is proposed for reducing speckle noise in medical ultrasonic images. But it is not suitable for image segmentation.
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Novel Bayesian multiscale method for speckle removal in medical ultrasound images
TL;DR: A novel speckle suppression method for medical ultrasound images that uses the alpha-stable model to develop a blind noise-removal processor that performs a nonlinear operation on the data and designs a Bayesian estimator that exploits these statistics.
Journal ArticleDOI
Speckle filtering of synthetic aperture radar images : a review
TL;DR: A critical evaluation of speckle suppression filters is made using a simulated SAR image as well as airborne and spaceborne SAR images and computational efficiency and implementation complexity are compared.
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