Results 251 to 260 of about 555,673 (291)
Speckle noise reduction in US images: Enhanced filtering with optimal filter coefficients
International Journal of Wavelets, Multiresolution and Information Processing, 2023 Ultrasound (US) imaging is one of the prominent techniques, which is widely used for its advantages such as affordability, non-radiation, and non-invasiveness. However, the visual evaluation in this imaging model was hampered by speckle noise. De-specking is therefore seen as the most important task.
S. L. Shabana Sulthana, M. Sucharitha
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On the Importance of the Pearson Correlation Coefficient in Noise Reduction
IEEE Transactions on Audio, Speech, and Language Processing, 2008 Noise reduction, which aims at estimating a clean speech from noisy observations, has attracted a considerable amount of research and engineering attention over the past few decades. In the single-channel scenario, an estimate of the clean speech can be obtained by passing the noisy signal picked up by the microphone through a linear filter ...
Jacob Benesty +2 more
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Remote sensing image noise reduction using wavelet coefficients based on OMP
Optik, 2015 Abstract In recent years, many approaches have been put forward to reduce the noise of a remote sensing image. In this paper, we present an improved method WCOMP based on OMP algorithm for the remote sensing image denoising. We introduce coefficients of wavelet transform into a greedy strategy, combine OMP algorithm with SVD decomposition to train ...
Shulei Wu +4 more
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Speckle noise reduction in medical ultrasound images using coefficient of dispersion
2016 International Conference on Signal Processing and Communication (ICSC), 2016 The major issue that occurs in medical ultrasound (US) imaging is speckle noise, as it degrades the diagnostic quality of images. In this paper, a new method based on the combination of bilateral filter and detail preserving anisotropic diffusion (DPAD) is presented.
Amit Garg, Vineet Khandelwal
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Nonstationary Noise Reduction in Low SNR Speech Signals with Wavelet Coefficient Feature
2020 Third International Conference on Smart Systems and Inventive Technology (ICSSIT), 2020 Generally, the real-time environments with nonstationary noises and speech enhancement under low signal-to-noise ratio (SNR) remains a challenging task. Consequently, this article proposes a supervised model for speech enhancement by using the wavelet coefficient as an input feature. The performance of speech enhancement improves with the input feature
Samba Raju Chiluveru, Manoj Tripathy
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Textile Research Journal, 2022 Weft-knitted spacer fabrics with robust sound absorption ability had great application prospects in noise control engineering, but the relationship between structural parameters and sound absorption still required to be investigated further. In this work, a series of wet knit spacer fabrics with different structural parameters were fabricated, and the
Shaoju Fu +4 more
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Speech Noise Reduction System Using MDFT Pair - Formulation of Noise Subtraction Coefficient -
2006 International Symposium on Intelligent Signal Processing and Communications, 2006 We have proposed the noise reduction system using modified DFT pair. An input spectrum and a noise spectrum are detected at each sample using modified DFT and then noise reduction is achieved by subtracting the detected noise spectrum from the input one.
Isao Nakanishi +3 more
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Noise Variance Estimation Based on Knowledge of Noise Reduction Coefficient
Advanced Materials Research, 2011 The paper presents interference estimation method involving search for “flat” area, on the basis of image analysis taking into account correlation coefficient and knowledge of variance reduction coefficient for noise in the filtered area. The proposed method was tested for an interference characterised by normal distribution, and then compared to the ...
Jakub Pęksiński, G. Mikołajczak
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Applied Acoustics, 2021 Abstract Infrasound noise reduction has two difficulties: the extremely limited datasets and the overlap of frequency bands. To overcome these problems, we present an algorithm, named MCWGCC-NMF, for noise reduction in multi-sensor recordings of mixture infrasound signals.
Yijing Dai +4 more
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Circuits, Systems, and Signal Processing, 2011 This paper treats the minimization problem for roundoff noise in two-dimensional (2-D) recursive digital filters with an error feedback (EF). The EF is known as an available scheme for the reduction of roundoff noise, and this can be achieved by extracting a roundoff error from the quantizer and feeding it back to the adder.
Masayoshi Nakamoto +2 more
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