Showing 1-25 of 2,419 resultsfor "Index Terms":Background Suppression
"Index Terms":Background Suppression
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To improve the detection of dim and small targets in infrared (IR) images containing high-intensity cloud clutter, a novel adaptive background suppression method is proposed. By using three-dimensional cooperative filtering and differential calculation, the different and complex background clutter is suppressed. To obtain the optimal parameters for the background suppression algorithm, an adaptive...Show More
Dynamic Background Reconstruction in Traffic Surveillance Systems
2011 International Symposium on Computer Science and Society
Year: 2011 | Conference Paper |
Cited by: Papers (1)
In the Vision-based systems for traffic surveillance, background suppression is usually used for vehicle detection. Therefore the accuracy of detection is heavily based on the exact acquirement of background. This work presents a technique for dynamic background reconstruction. The course of it is shown as follow: first of all, Pixel of background is detected by using T distribution which is used ...Show More
Pixel readout circuit with novel background suppression techinque for LWIR applications
2009 Asia Pacific Conference on Postgraduate Research in Microelectronics & Electronics (PrimeAsia)
Year: 2009 | Conference Paper |
Cited by: Papers (1)
A novel pixel readout circuit using a switched-capacitor integrator mode background suppression technique is proposed for long wavelength infrared (LWIR) focal plane arrays. It has ultra-low background suppression non-uniformity (BSNU) and no additional shot noise when suppressing the background current for improving signal-to-noise ratio and dynamic range. The BSNU can be as low as 529ppm for a c...Show More
Joint Dereverberation and Residual Echo Suppression of Speech Signals in Noisy Environments
EmanuËl A. P. Habets;Sharon Gannot;Israel Cohen;Piet C. W. Sommen
Hands-free devices are often used in a noisy and reverberant environment. Therefore, the received microphone signal does not only contain the desired near-end speech signal but also interferences such as room reverberation that is caused by the near-end source, background noise and a far-end echo signal that results from the acoustic coupling between the loudspeaker and the microphone. These inter...Show More
Dim infrared targets often have low recognition accuracy in complex environments, because of its small size and low brightness. Therefore, this paper presents an infrared background suppression method based on low-pass adaptive morphological filtering. In this method, the infrared background noise is connected into multiple regions by low-pass filtering, the adaptive morphological mask is generate...Show More
Dynamic Vehicle Detection Algorithm Based on Background Updating and Suppressing
2010 International Conference of Information Science and Management Engineering
Year: 2010 | Conference Paper |
Cited by: Papers (3)
In the vision-based traffic system for the moving vehicle detection, the accuracy of vehicle detection is heavily based on exact acquirement of the background, this paper presents a T-distribution background reconstruction algorithm of moving vehicle detection to obtain background pixels, that is, the background image which doesn't contain any moving objects is restored by integrating of several b...Show More
RMCHN: A Residual Modular Cascaded Heterogeneous Network for Noise Suppression in DAS-VSP Records
Distributed optical fiber acoustic sensing (DAS) is an emerging acquisition technology in seismic exploration. However, DAS records are always affected by the complex background noise, resulting in a low signal-to-noise ratio (SNR). In addition, the DAS background noise has different properties from the noise existing in conventional seismic data. Thus, conventional denoising methods may degrade t...Show More
An improved robust estimation algorithm for small IR target detection
2009 IEEE Symposium on Industrial Electronics & Applications
Year: 2009 | Conference Paper |
Cited by: Papers (3)
Directed against the problem of detecting small infrared target in complex background, this paper presents an adaptive background prediction algorithm based on improved robust M-estimation. In the proposed algorithm, target pixels and observed noise form the mixed interference of background estimation. In order to better estimate background, the authors of this paper introduce a correction factor ...Show More
Infrared Small Target Detection Based on Interpretation Weighted Sparse Method
Yuting Zhang;Zhengzhou Li;Abubakar Siddique;Abdullah Azeem;Wenhao Chen;Dong Cao
Accurately and robustly detecting infrared (IR) small targets plays an essential role in IR search and tracking (IRST) systems against complex backgrounds. However, the low signal-to-clutter ratio (SCR) feature target, also known as the dim target, is more similar to the local background region, making it prone to being misdetected as background or buried in clutter interferences, ultimately leadi...Show More
An infrared dim and small target image preprocessing algorithm based on improved bilateral filtering
2021 International Conference on Computer, Blockchain and Financial Development (CBFD)
Year: 2021 | Conference Paper |
Cited by: Papers (3)
There is no obvious shape and texture information of the infrared dim and small target in the air background, which is easy to be interfered by complex background clutter, so it brings great difficulty to target detection and tracking. A preprocessing algorithm based on bilateral filtering is proposed according to the characteristics of infrared dim and small target image in this paper. Firstly, T...Show More
A Method for Suppressing Coloured Background Noise in Low-Voltage Power Lines
2022 IEEE 5th International Conference on Electronics Technology (ICET)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
In low-voltage power line communication, the persistence of coloured background noise seriously affects the signal transmission quality of power line communication, so it is particularly important to suppress coloured background noise. In this paper, a compression-aware coloured background noise suppression method is proposed to suppress the coloured background noise in power line communication by...Show More
A high-performance readout circuit (ROIC) for VLWIR FPAs with novel current mode background suppression
Li-chao Hao;Rui-jun Ding;Jun-ling Zhang;Ai-bo Huang;Hong-lei Chen
Proceedings of 2012 International Conference on Measurement, Information and Control
Year: 2012 | Conference Paper |
Cited by: Papers (6)
This study designs a 32×32 readout integrated circuit (ROIC) for N-on-P very long wavelength (VLWIR) detectors. The new ROIC has the ability to operate with current mode background suppression in two steps, and increases the integration time and the signal-to-noise ratio (SNR) of image data. To improve the linearity and provide tight control of the detector bias, a buffered direct injection (BDI) ...Show More
Improved adaptive clutter suppression based on multi-look processing in heterogeneous background
Liang Yan;Jia Xu;Jin-Peng Guo;Xiang-Gen Xia;Teng Long;Ming-Ming Bian
2016 CIE International Conference on Radar (RADAR)
Year: 2016 | Conference Paper |
It is known that the performance of adaptive clutter suppression may be reduced seriously in a heterogeneous background, due to the lack of enough training samples to exactly obtain the optimum weight. Furthermore, a background will be further heterogeneous with the improving of range resolution. In this paper, we propose an improved adaptive clutter suppression method based on multi-look processi...Show More
Diverse Feature Learning Network With Attention Suppression and Part Level Background Suppression for Person Re-Identification
Shengrong Yang;Weihong Liu;Yangbin Yu;Haifeng Hu;Dihu Chen;Tao Su
In this paper, we propose a Diverse Feature Learning Network with Attention Suppression and Part Level Background Suppression (DFLN) for person re-identification (ReID). DFLN includes two key components: attention suppression mechanism (ASM) and part level background suppression mechanism (PLBSM). Firstly, despite attention mechanism has made great progress in current state-of-the-art ReID methods...Show More
Adaptive Multi-Layer Structure for Anomaly Detection in Hyperspectral Images
2020 15th IEEE Conference on Industrial Electronics and Applications (ICIEA)
Year: 2020 | Conference Paper |
Cited by: Papers (1)
Most traditional hyperspectral image (HSI) anomaly detection (AD) algorithms often consider the spectral difference between the anomaly and its background pixels, ignoring the local spatial structure information. An Adaptive Multi-layer Structure for hyperspectral image anomaly detection is proposed to handle this problem. This new algorithm not only calculates the spectral dimension difference be...Show More
Contrast-agent detection using orthogonal decoding with pulse-inversion harmonic suppression in Hadamard-encoded multi-pulses (HEM) transmission
2018 IEEE International Ultrasonics Symposium (IUS)
Year: 2018 | Conference Paper |
Cited by: Papers (1)
Hadamard-encoded multi-pulses (HEM) transmit has recently been utilized for tissue background suppression in ultrasound contrast imaging to enhance contrast-to-tissue ratio (CTR). Nonetheless, second harmonic component in HEM transmit results in residual tissue background after decoding and thus compromises detection of contrast microbubbles. Theoretically, high-order HEM transmit can produce harm...Show More
Quality Measurement of Screen Images via Foreground Perception and Background Suppression
Miaohui Wang;Yijing Huang;Jiaxin Lin;Wuyuan Xie;Guanghui Yue;Shiqi Wang;Leida Li
The widespread screen sharing poses a great challenge in the visual quality control of industrial applications, as there is a significant difference between the visual quality perception of natural content (NC) and screen content (SC) images (or videos) during acquisition, compression, distribution, and display. Apart from the foreground distortion, artifacts appeared in the smooth background of S...Show More
Improved Background Noise Suppression in Ultrasound Localization Microscopy using Spatial Coherence Beamforming
2021 IEEE International Ultrasonics Symposium (IUS)
Year: 2021 | Conference Paper |
Cited by: Papers (6)
Recently, the resolution of ultrasound imaging has been dramatically increased using ultrasound localization microscopy (ULM), by localizing the spatially isolated microbubbles (MBs). However, owing to the poor penetration and low signal-to-noise ratio (SNR) of plane wave (PW) imaging, it could be challenging to accurately differentiate the isolated MB signal from the background noise. In this stu...Show More
Background noise suppression for acoustic localization by means of an adaptive energy detection approach
J. Moragues;L. Vergara;J. Gosalbez;T. Machmer;A. Swerdlow;K. Kroschel
2008 IEEE International Conference on Acoustics, Speech and Signal Processing
Year: 2008 | Conference Paper |
Cited by: Papers (8)
A microphone array can be employed to localize dominant acoustic sources in a given noisy environment. This capability is successfully used in good signal to noise ratio (SNR) conditions but its accuracy decreases considerably in the presence of other background noise sources. In order to counteract this effect, a novel approach that combines the information provided by a Gaussian energy detector ...Show More
Direct interference suppression in EEG/MEG dipole source localization
2010 IEEE International Conference on Acoustics, Speech and Signal Processing
Year: 2010 | Conference Paper |
Cited by: Papers (2)
An interference suppression algorithm is proposed for canceling the spatially correlated background noise and interference in EEG/MEG source localization applications. Rather than using the standard prewhitening approach, the proposed algorithm attempts to directly null interference using a projection operator obtained from a set of secondary, control-state data. The use of direct interference can...Show More
Noise Statistics Update Adaptive Beamformer With PSD Estimation for Speech Extraction in Noisy Environment
This paper addresses the problem of extracting a desired speech source from a multispeaker environment in the presence of background noise. A new adaptive beamforming structure is proposed for this speech enhancement problem. This structure incorporates power spectral density (PSD) estimation of the speech sources together with a noise statistics update. An inactive-source detector based on minimu...Show More
Adaptive Global Noise Suppression Deep Deconvolution for Weak Fault Signature Mining of Aero-Engine Accessory Casing
The vibration signals collected from aero-engine accessory casing suffer from serious background noise and strong harmonic interference caused by a combination of nonstationary operating conditions, complex transmission paths, and time-varying airflow environments, which ultimately lead to weak early fault signature information. In recent years, blind deconvolution is considered as a very powerful...Show More
Background Suppression Algorithm for Infrared Images Based on Robinson Guard Filter
2017 2nd International Conference on Multimedia and Image Processing (ICMIP)
Year: 2017 | Conference Paper |
Cited by: Papers (10)
Given the limitations of traditional Robinson guard filter, a novel algorithm is proposed to suppress background of infrared (IR) images. First, according to human visual contrast mechanism, regions of interest (ROIs) can be obtained. Then approximate sizes of candidate targets can be acquired by extracting outlines of ROIs. Based on that, the window size of Robinson guard filter can be adjusted a...Show More
A Novel Spatiotemporal Filtering for Dim Small Infrared Maritime Target Detection
2022 International Symposium on Electrical, Electronics and Information Engineering (ISEEIE)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
Robust small target detection of low signal-to-noise ratio (SNR) is very important in infrared searching and tracking, precision guidance, pre-warning, etc. In this paper, we propose a novel spatial based anisotropic Gaussian differential filtering system, which improves the accuracy and stability of dim small maritime target by enhancing signal strength with morphological characteristics. First, ...Show More
Infrared Object Detection Based on Improved Twist Tensor Model
Gaoshan Feng;Wenlin Qin;Enyong Xu;Zijun Sun;Xiangsuo Fan;Huajin Chen
Infrared object detection holds significant importance in automatic target search and tracking system under complex background. The conventional structural tensor models have not harnessed the full potential of spatio-temporal domain information in sequence scenes, and the strong edge contours in the image often lead to false alarms. In order to tackle this problem, we propose an improved twist te...Show More
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