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In this paper, we present a novel iterative median filter based strategy to improve the quality of the depth maps provided by sensors like Microsoft Kinect. The quality of the depth map is improved in two aspects, by filling holes present in the maps and by addressing the random noise. The holes are filled by iteratively applying a median based filter which takes into account the RGB components as...
Partial Discharge (PD) signal denoising is very significant in analyzing its characteristics and its effect on high voltage insulation equipments. Mainly, the PD information is lost in the presence of various noises. The wavelet transform provides a better platform for PD signal pre and post processing. The wavelet adaptive thresholding denoising techniques provides a better method to reduce noise...
Segmentation plays a vital role in extracting information from medical images. Segmentation is the process of partitioning the image into distinct regions. Magnetic resonance imaging is used to extract images of soft tissues of human body. It is used to analyze the human organs without the need for surgery. Generally MRI images contain a significant amount of noise caused by operator performance,...
In image processing noise removal is the strenuous tasks. Noise removal forms one of the applications of segmentation. It is also the basic tool for the medical diagnosis. It helps the medical practitioner to extract the defected organ easily and give a proper diagnosis. The present scenario is to concentrate on extracting the desired tissue from the noisy image obtained through ultrasound scanning...
This paper addresses the issue of magnetic resonance (MR) Image reconstruction at compressive sampling (or compressed sensing) paradigm followed by its segmentation. To improve image reconstruction problem at low measurement space, weighted linear prediction and random noise injection at unobserved space are done first, followed by spatial domain de-noising through adaptive recursive filtering. Reconstructed...
Switching median filter is known as one of effective algorithms for impulse noise reduction. In this paper, we present an improved switching median filter by considering weighted neighboring pixel locations. Specifically, the proposed method generates a flag map using boundary discriminative noise detection(BDND) detector. Next, we conduct a noise reduction by estimating the local noise density. When...
The solution in assisting practitioners in venipuncture is to design a full autonomous venous access device, which integrating multiple methods of venous detection in performing precision cannula placement [1]. Particularly, B-mode ultrasound and near-infrared imaging techniques are studied to conduct vessel reconstruction. However, low light level intensity and inherent speckle noise are problematic...
Prosthesis hand is an artificial device which replaces missing hand because of human's hand may lost by trauma, disease or defect. From last decade, some researchers have been studying to invent and develop artificial hand. One of the most important step of bionic upper limb is developing surface electromyography (sEMG) signal analyzing methods. This pilot study is aimed to examine de-noising efficiency...
Image denoising is the most basic inverse imaging problem. As an under-determined problem, appropriate definition of image priors to regularize the problem is crucial. Among recent proposed priors for image denoising are: i) graph Laplacian regularizer where a given pixel patch is assumed to be smooth in the graph-signal domain; and ii) self-similarity prior where image patches are assumed to recur...
This paper presents audio-integrated snore active noise control (ANC) systems based on the portable pillow setup to effectively reduce the annoying snore and mask the residual noise. Computer simulations and real-time experiments show the performance of the ANC systems based on the pillow setup achieved higher noise reduction at the ears of the snorer's bed partner as compared with the headboard setup...
Depth estimation is one of the new functions provided by hand-held light field cameras. However, the quality of depth estimation is very sensitive to noise, which is especially a problem for scenes under low light conditions. In this paper, we propose a depth estimation flow for light field data, which can be fully-automated and no noise characteristics are required a priori. The results of Root Mean...
In this paper, we propose a method for noise-robust speech recognition in a home environment based on noise modeling and parallel decoding. There are three basic ideas of the proposed method. First, we model the noise signals observed in the environment using a GMM. Second, we generate multiple noise-reduced signals using the mean vectors of the GMM and decode the signals in parallel. Third, we choose...
It is well known that modern CCD/CMOS digital cameras produce color images contaminated by mixed photon-electronic noise, which is a mixture of signal-dependent optical photon noise and signal-independent electronic noise. In statistical, variance of the mixed noise is a line function of mean intensity on the pixel. Based on this camera variance-mean model, we propose a fast and robust approach to...
The popular existing de-noising methods are compared and analyzed, including wavelet packet decomposition, coefficient shrinkage and modulus maxima method of wavelet transform, which advantages and disadvantages are analyzed and summarized. So their suitable scopes and premise condition are obtained. To accurately analyze high frequency part of signal in submarine tunnel monitoring, the maxima method...
The drilling fluid pulse communication is a very popular technique in the measurement while drilling (MWD) field, because it has the simpler architecture compared to the continuous pressure ware systems. A noise suppression method for signal detection method based on the over complete dictionary is proposed in this paper. Considering the characteristics of the drilling fluid pulse signals, the theory...
Geochemical data processing plays an important role in the process of geochemical prospecting. According to the nonlinear characteristics of the geochemical data, the wavelet adaptive multi-threshold based on generalized cross-validation (GCV) criterion was adopted towards geochemical data preprocessing and good results are also achieved by validation in practical work area.
Wavelet Transform is a widely used tool in signal processing which helps in localizing a signal in both time and frequency domain. This is in contrast to FFT which can only resolve a signal in frequency domain. Additionally, Wavelet Transform has been widely employed by electrical machines researchers for fault diagnosis and prognosis especially as means to extract features for classification purposes...
Electrocardiogram (ECG) signals usually corrupted by different types of noise like power line interference, baseline drift due to respiration, electromyogram interference, abrupt baseline shift and their composite noise. Denoising of noisy signal has great clinical importance for the diagnosis of cardiac abnormalities. In this paper, dual tree complex wavelet transform (DTCWT) has been used to denoise...
In the field of infrared remote sensing, the problem of IR small target detection is still an important component part. Concerning infrared dim small target (IRDST) detection, firstly the infrared image is processed with DWT method to get the wavelet coefficients image, but the distribution characteristics, such as scales, frequencies, orientations of wavelet coefficients in different sub-bands are...
Enhancement of text information from the images captured by mobile camera is a very challenging task due to the high variation between the background and the foreground that contains shadows, poor contrast and non uniform illumination. In this paper, denoising along with binarization algorithm that uses phase congruency features is proposed to extract the text information from the document images...
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