نتایج جستجو برای: while suppressing such noise
تعداد نتایج: 2803182 فیلتر نتایج به سال:
Reconstructing low-dose computed tomography (CT) images is an unstable inverse problem, due to the presence of noise. To address this problem, we propose a new regularized reconstruction method that combines features from the Filtered Back-Projection (FBP) algorithm and regularization theory. The filtering part of FBP comprises Fourier-domain inversion followed by noise suppression based on thr...
applications such as high definition viedeo reproduction, portable computers, wireless, and multimedia demand, and ever-increasing need for ligh-frequency high-resolution and low-power analog-to-digital converters. flash, two-step flash, and pipeline convertors are fast but consume large amount of power and require large area. to overcome these problems, successive approximation converter blo...
Cellular heterogeneity, which plays an essential role in biological phenomena, such as drug resistance and migration, is considered to arise from intrinsic (i.e., reaction kinetics) and extrinsic (i.e., protein variability) noise in the cell. However, the mechanistic effects of these types of noise to determine the heterogeneity of signal responses have not been elucidated. Here, we report that...
Method for noise suppressing edge enhancement based on genetic algorithm taking into account complexity of target images measured with fractal dimension is proposed. Through experiments with satellite remote sensing imagery data with additive noise, it is found that the proposed method shows appropriate edge enhancing performance with suppressing the additive noise in accordance with complexity...
Measuring the diffusion properties of crossing fibers is very challenging due to the high number of model parameters involved and the intrinsically low SNR of Diffusion Weighted MR Images. Noise filtering aims at suppressing the noise while pertaining the data distribution. We propose an adaptive version of the Linear Minimum Mean Square Error (LMMSE) estimator to achieve this. Our filter appli...
The process of suppressing acoustic noise in audio signals, and speech signals in particular, can be improved by exploiting the masking properties of the human hearing system. These masking properties, where strong sounds make weaker sounds inaudible, are calculated using auditory models. This thesis examines both traditional noise suppression algorithms and ones that incorporate an auditory mo...
We have developed a novel electromagnetic bandgap (EBG) structure for suppressing power plane noise that enables unit cell size to be miniaturized by using open stubs as shunt circuits. Since stub length determines the center frequencies of stopbands for this structure, reduced implementation area can be anticipated while maintaining stopbands at lower frequencies. Stopband frequencies were est...
This paper proposes a beamforming scheme for suppressing coherent interference with an array of arbitrary geometry. The scheme first uses estimates of the source directions to construct a transformation, which removes the desired signal while retaining the coherent interference. Optimum beamforming is then performed on the transformed data containing only interference and noise to produce the m...
In this paper, we propose robust methods to detect image resizing. A common problem affecting most resizing detection algorithms is that they are susceptible to JPEG compression attacks. The reason is that JPEG compression introduces its own periodicity, as it works on 8×8 blocks. In our proposed approach, we add a suitable amount of Gaussian noise to a resized and JPEG compressed image so that...
The image gets corrupted by Additive White Gaussian Noise during the process of acquisition, transmission, storage and retrieval. Denoising refers to suppressing the noise while retaining the edges and other important detailed structures as much as possible. This paper presents a general structure of the recovery of images using a combination of variation methods and wavelet analysis. The varia...
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