The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Phase information recovered through interferometric techniques is mathematically wrapped in the interval (−π, π). Obtaining the original unwrapped phase is very important in numerous number of applications. This paper discusses a Fourier transform based phase unwrapping method. Kalman filter is proposed for denoising in post processing step to restore the unwrapped phase without any noise. The proposed...
Multiple sequence magnetic resonance imaging (MRI) is often hampered by noise and misalignment. The wavelet de-noising lacks directivity and does not preserve image details, which limits its effectiveness. To solve the problem, an adaptive threshold de-noising method based on wavelet transformation is employed. As to misalignment, a registration method basis of shape context descriptor is proposed...
SR-based denoising methods have shown promising performance in image denoising. However, Because of the degradation of the noisy image, conventional SR based denoising models may not be accurate enough for the reconstruction of a clean image. Therefore, to reduce the noise corruption, a novel adaptive sparse representation based SAR image despeckling algorithm is proposed in this paper, where the...
Noisy 3D point clouds arise in many applications. They may be due to errors when creating a 3D model from images or simply to imprecise depth sensors. Point clouds can be given geometrical structure using graphs created from the similarity information between points. This paper introduces a technique that uses this graph structure and convex optimization methods to denoise 3D point clouds. A short...
This paper presents novel results on temporally consistent depth estimation with the use of noise removal from video. Basing on the prior works, a novel, more advanced noise reduction algorithm is proposed. It uses motion compensation and additional refinement for elimination of artifacts. Also, exhaustive results, both subjective and objective, are presented for commonly known MPEG multiview test...
After four years of development of the Image Processing On Line journal (IPOL), this article presents a first analysis and overview of its scientific and technical development. The main issues met and overcome from the beginning of the journal are described with a focus on the purpose of the journal to establish a state of the art on the main Image Processing topics. The evolution of the online demonstration...
This paper presents a way of improving the recognition rate of a typical Hidden Markov Model (HMM) -based Automatic Speech Recognition (ASR) system by integrating the l1 - least absolute deviation (LAD) algorithm and the l0 - least square (LS) algorithm in a framework designed to selectively use them based on the level of impulse noise present in speech signal. We present the overall architecture...
We address the task of restoring RGB images taken under low illumination (e.g. night time), when an aligned near infrared (NIR or simply N) image taken under stronger NIR illumination is available. Such restoration holds the promise that algorithms designed to work under daylight conditions could be used around the clock. Increasingly, RGBN cameras are becoming available, as car cameras tend to include...
The Electrocardiogram (ECG) is a valuable signal recording the heart's electrical activity. The filtering quality of ECG signals directly affects the medical diagnosis. Since wavelet analysis can provide both time and frequency information, many nonlinear thresholding methods based on wavelet transform denoising have been applied to the noise reduction of ECG signals. However, most of these threshold...
The idea presented in this paper is to gradually decrease the influence of selected training vectors on the model: if there is a higher probability that a given vector is an outlier, its influence on training the model should be limited. This approach can be used in two ways: in the input space (e.g. with such methods as k-NN for prediction and for instance selection) and in the output space (e.g...
A radar signal recognition can be accomplished by exploiting the particular features of a radar signal observed in presence of noise. The features are the result of slight radar component variations and acts as an individual signature. The paper describes radar signal recognition algorithm based on time frequency analysis, noise reduction and statistical classification procedures. The proposed method...
In this research, we focus low illumination video image of "below 1 lux" obtained by normal type video camera, and we consider the method of image correction for moving-object detection by inter-frame differencing. The method of this research is the combination of gamma correction and denoising as the preparation of inter-frame differencing. By such method, the moving-object detection which...
Noise cancellation is very important step for ECG signal processing. For this problem, there are many methods had been applied. For example, Wavelet based de-noises, EMD based de-noise, Kalman based de-noise, etc. for resource very limited system, the above method may be not fit into the system resource. Algorithm complexity and resource requirement will be the major concern in this work. In this...
Local traditional arts people and the city's traditional music preservation society have strongly wanted a technology to accurately score traditional music, especially Tsugaru Shamisen. This music will be preserved as scores, which avoids relying solely on the oral transmission of this music to the young performers. At this time, we have experimentally produced an “Electric Shamisen” equipped with...
Real-time data-driven systems often utilize discrete valued time series data and their functionality is highly dependent on the accuracy of such data. In order to improve the performance of these systems, an important pre-processing step is the denoising of data before performing any action (e.g. forecasting or control activities). Existing algorithms have primarily focused on the offline denoising...
We consider change-point estimation in a sequence of high-dimensional signals given noisy observations. Classical approaches to this problem such as the filtered derivative method are useful for sequences of scalar-valued signals, but they have undesirable scaling behavior in the high-dimensional setting. However, many high-dimensional signals encountered in practice frequently possess latent low-dimensional...
Conventional active noise cancellation (ANC) applications often use high-speed digital signal processors (DSPs) to cancel annoying noise, which result in an expensive cost and high-power dissipation for modern portable devices. To achieve both high-performance and low-power consumption requirements, this paper proposes a dedicated feed-forward filtered-x least mean square (FxLMS) ANC VLSI design for...
A new contourlet-based method is introduced for reducing noise in images corrupted by additive white Gaussian noise. This method takes into account the statistical dependencies among the contourlet coefficients of different scales. In view of this, a non-Gaussian multivariate distribution is proposed to capture the across-scale dependencies of the contourlet coefficients. This model is then exploited...
This paper presents improvement in the performance of a thermal system PID controller in the presence of noise using Haar wavelet based denoising. When noise enters in a thermal system it becomes unstable as the performance of the associated PID controller deteriorates. To improve this problem Haar wavelet based denoising is proposed. Multiresolution capability of Haar wavelet minimizes the effect...
Noise is an impairment which often occurs in both film and digital video and severely degrades the viewing experience of the content. In this work, we propose a two-phase algorithm for film an video denoising. In the first phase, the concept of semi-local shrinkage functions is used to effectively separate noise from image structure. In the second phase, we show how to fuse the result images of the...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.