Maximum Noise Level Research Articles

Traffic noise-induced changes in wake-propensity measured with the Odds-Ratio Product (ORP)

Nocturnal traffic noise can disrupt sleep and impair physical and mental restoration, but classical sleep scoring techniques may not fully capture subtle yet clinically relevant alterations of sleep induced by noise. We used a validated continuous measure of sleep depth and quality based on automatic analysis of physiologic sleep data, termed Wake Propensity (WP), to investigate temporal changes of sleep in response to nocturnal noise events in 3-s epochs. Seventy-two healthy participants (mean age 40.3 years, range 18–71 years, 40 females, 32 males) slept for 11 nights in a laboratory, during which we measured sleep with polysomnography. In 8 nights, participants were exposed to 40, 80 or 120 road, rail and/or aircraft noise events with maximum noise levels of 45–65 dB LAS,max during 8-h sleep opportunities. We analyzed sleep macrostructure and event-related change of WP during noise exposure with linear mixed models. Nocturnal traffic noise led to event-related shifts towards wakefulness and less deep, more unstable sleep (increase in WP relative to pre-noise baseline ranging from +29.5% at 45 dB to +38.3% at 65 dB; type III effect p < 0.0001). Sleep depth decreased dynamically with increasing noise level, peaking when LAS,max was highest. This change in WP was stronger and occurred more quickly for events where the noise onset was more rapid (road and rail) compared to more gradually time-varying noise (aircraft). Sleep depth did not immediately recover to pre-noise WP, leading to decreased sleep stability across the night compared to quiet nights, which was greater with an increasing number of noise events (standardized β = 0.053, p = 0.003). Further, WP was more sensitive to noise than classical arousals. Results demonstrate the usefulness of WP as a measure of the effects of external stimuli on sleep, and show WP is a more sensitive measure of noise-induced sleep disruption than traditional methods of sleep analysis.

Effect of sound source movement at low Mach number on radiated noise level

Change in A-weighted sound pressure level or Noise level of radiated sound due to sound sources moving at low Mach number at the same speed along a straight track is discussed in this paper. When a sound source move, frequency and amplitude modulation is observed in the radiated sound field. Without their modulation, the noise level at a receiving point is determined only by distance and A-weighted sound power level of each sources. Solution of modulated frequency and amplitude of radiated sound can be obtained by using the Duhamel's efficient calculation. The modulated frequency and amplitude increase for approaching sources and decrease for receding sources. The difference of maximum noise level,and the equivalent sound level during the sources passing-by, with or without considering the modulation, increases monotonically with respect to source velocity, and independent of distance from the track. This difference increases as dominant frequency band of the sources decreases due to A-weighting below 1 kHz.

An experiment on the feeling of separation when multiple aircraft noises are overlapped

In order to calculate the A-weighted single event sound exposure level () of aircraft noise, the following method is described in the manual for aircraft noise measurement in Japan. Firstly a time-section, which is the range between two points where the noise level is 10 dB lower than the maximum noise level (), should be identified, and secondly the energy within the section is integrated. This method can easily be applied to the single event noises. When multiple aircraft noises are overlapped simultaneously, there are cases where cannot be calculated adequately by this method. In such cases, it is required to record the number of aircraft noises in the field measurements. However, even in the case of manned measurement, it is not easy to separate sound sources just by listening to the sound. A pilot study of the psychoacoustic experiment was conducted using the stimuli where multiple aircraft noises were overlapped in order to find what condition is needed so that multiple aircraft noises were separately perceived. It was suggested that a considerable time interval was needed so that people felt the separation between aircraft noises only with auditory information.

Noise Reduction Provided by Trees in an Urban University Campus

In urban universities, there are various noise sources such as roads, railways, construction activities that disturb staffs and students and cause undesirable environment for higher education. In this study, noise reduction effects of trees were investigated in the urban campus of Bursa Technical University (BTU) located in Yıldırım province of Bursa, Turkey. The campus was surrounded by a major inter-city road with a heavy traffic at the north and there is a large hospital at the south. There is a tree fence along the north boarder and there are groups of trees particularly at the north. In field study, the peak noise level data were collected for 5 minutes in two periods (Morning: 09:00-11:00 and Afternoon: 14:00-16:00) from total of 64 points which were homogenously distributed in the campus. Additional noise data were also collected from outside and inside of tree fence along the north border and from midpoint of each tree group. The coordinates of the noise data points were recorded by a GPS and a noise level layer was generated in ArcGIS 10.4.1. Then, noise map of campus was generated using kriging function based on spatial interpolation of noise data. The results indicated that the average peak noise level was 65.6 dBA in the morning period and 66.1 dBA in the afternon period. The maximum peak noise level of 103.6 dBA was reached in the morning period, while maximum peak noise level was 101.6 dBA in the afternoon period. The average peak noise level within the tree groups were 53.7 dBA (maximum 59.3 dBA) and 54.1 dBA (maximum 61.3 dbA) in two periods, respectively. It was also found that tree fences reduced the noise level by 24.9 dBA and 26.3 dBA in two periods, respectively. The results revealed that trees within urban campus are important to reduce noise effect.

ORGANIZATION OF EXPERIMENTAL RESEARCH DETERMINATION OF TRANSPORT NOISE LEVELS AT THE FIRST STAGE OF MOTORING

Monitoring studies are considered as a system of environmental monitoring of anthropogenic factors, based on the legislation of Ukraine, monitoring of physical impacts, including noise levels, are necessary and important in terms of monitoring the air of populated cities. The article is devoted to the substantiation of the need to organize monitoring observations of the levels of noise pollution caused by the operation of vehicles in the residential areas of populated cities. Scientific and methodological approaches to the organization of experimental research to determine noise levels as the first stage of the monitoring system have been developed. The state normative-legal base is analyzed, it is revealed that the organization of experimental researches of noise characteristics of the transport streams going along apartment houses, isn't fixed at the legislative level. The system of monitoring noise pollution levels should consist of the following main stages: 1) data collection (measurement of noise levels in the field); 2) processing of the received data (calculation of equivalent and maximum noise levels on the basis of the received field observations); 3) compilation of databases; 4) detection of discomfort zones (comparison of the obtained equivalent and maximum noise levels with the allowable ones). Unified schemes of location of the control point for instrumental measurements of traffic noise levels, depending on the category of roads adjacent to residential buildings, are proposed. This approach takes into account all possible layout options of the urban area, which allows to identify noise-absorbing properties of green areas of roadside space and provide environmentally friendly noise protection solutions to reduce man-made pollution and quantify the noise load in residential areas affected by the road. The results of approbation of experimental measurements according to the offered schemes which give the chance of revealing of uncomfortable zones in territories of inhabited building for acceptance of the further ecologically safe noise protection practical decisions are resulted.

A first approach to the optimization of landing and take-off operations through intelligent algorithms for compliance with the acoustic standards in multi-runway airports

Noise limits for aeronautical traffic near airport infrastructure refer to energy contributions of sound and flight distribution among runways essentially depends on weather conditions. Therefore, the acoustic impact of air traffic on the surrounding area can be predicted in real time as a function of the runways use thanks to dynamic control. The problem can be solved thanks to the development of a predictive calculation model (based on machine learning and, specifically, neural networks) implemented from historical data obtained from monitoring systems and correlated with the monitored acoustic parameters. This approach borrows from other sectors new possibilities for optimizing and managing airport traffic in order to contain the noise generated by aircraft in transit, a possibility that until a few years ago was unexplored in these terms.As a first approach, an IT tool has been created for the identification in real time of a configuration of the runways use that guarantees the maximum airport operation and noise levels within the regulations. In this preliminary phase, the number of variables analyzed and the historical database used for learning the neural network are limited and an approximation of less than 1.3 dB is established with respect to the data recorded at the noise control units.

HVAC Operation Schemes and Commissioning Process Resolving Stack Effect Problem and Adjusting According to Changes in the Environment: A Case Study in High-Rise Building in South Korea

Various problems often arise in high-rise buildings during the winter months due to the stack effect. In this study, the high-rise building of interest, located in South Korea, was experiencing constant loud noises in the winter due to the stack effect. Thus, we created a noise level reduction plan by creating a method for pressurizing the high-rise zones of the building according to outdoor conditions. To discover the appropriate pressurization operating modes, we applied a two-year commissioning process to the 50-story building of interest. The 1st- and 47th-floor elevator halls were identified to have the highest noise levels of all other floors. Prior to applying the reduction plan, the maximum noise level on the first floor with the HVAC system turned off was 85 dB(A) and with the HVAC system turned on it was 70 dB(A). Both values exceeded the criteria of 57 dB(A) for a lobby space of a commercial building. In the case of the 47th floor, the maximum noise level with the HVAC system turned off was 58.7 dB(A) and with the HVAC system turned off was 56.0 dB(A), despite the latter having increased airtightness performance and applying preliminary pressurization (i.e., HVAC operation mode 2). These values exceeded the criteria of 48 dB(A) for an elevator hall in a commercial building. Following this initial data, we determined to pressurize the high/mid-rise zones of the building according to the outdoor air temperature and wind velocity conditions, which we categorized into four types (i.e., HVAC operation mode 4). To this effect, the first-floor elevator hall’s maximum noise level was 56.6 dB(A), meeting the criteria, and the 47th-floor elevator hall’s maximum noise level was 49.5 dB(A), still exceeding the criteria but by an insignificant amount. Although the HVAC pressurization operation we utilized resulted in favorable results for the target building A, it may not be as effective in other new high-rise buildings, creating changes to the indoor air environment or to the energy costs in maintaining a building. However, for the purposes of resolving the stack effect, we believe that the commissioning process we took to optimize the HVAC operation that is presented here can be applied to other new and existing high-rise commercial buildings.

Frequency domain analysis of the mirror‐modified filtered‐x least mean squares algorithm with low ambient noise

SummaryThe mirror‐modified filtered‐x least mean squares (MMFxLMS ) algorithm is a variation of the FxLMS algorithm with online secondary path modeling that cannot diverge due to secondary path modeling errors. However, problems may occur when the ambient noise is not limited due to insufficient modeling power. This work shows that under a frequency domain analysis without ambient noise, the MMFxLMS algorithm is always stable, and expressions for the maximum residual noise level at any given time are obtained. It is also shown that, under the same context, convergence to the minimum residual noise is guaranteed. Still, convergence can be much slower for high secondary path modeling errors than that of the LMS or MFxLMS algorithms. Simulations confirm these results.

2D and 3D mapping of traffic induced noise near major roads passing through densely populated residential area of South Delhi, India.

Noise monitoring and mapping is the critical processes to ensure that the noise level does not reach the harmful levels and provides noise exposure level details. 2-D and 3-D noise mapping has been carried out at pre-selected critical locations of major roads passing through densely populated residential areas, namely, Mathura Road, Lodhi Road, Lala Lajpat Rai Road, and Ring road, along with significant intersections, viz. Moolchand, Ashram, Sabz Burj, and Lodhi road. The monitoring has been performed during the day and night’s peak traffic hours using Sound Level Meter (SLM) Larson & Davis 831as per standard procedure. Then after, 2-D and 3-D noise maps have been prepared, visualized, and analyzed by soundPLAN (acoustic) and MapInfo Pro (Desktop GIS). The maximum noise level is observed at Ashram Chowk [81.1 dB (A)] at 8 pm; however, the minimum noise level is found to be at Lala Lajpat Rai Road [76.4dB (A)] at 7 pm. Monitoring results of noise level show non-compliance of regulatory standards for day time and night time. 2-D noise maps revealed that the noise level is maximum at the centerline of the road and decreases either side with the distance, and remains above the permissible limits at all locations. However, the 3-D noise maps show horizontal as well as vertical noise levels at all locations. The 3-D noise maps also revealed a noise level of 70 dB (A) up to a height of 6.096m at the Ashram Chowk and Moolchand intersection. However, a noise level of 65 dB (A) has been observed at the height of 5.486m at Lala Lajpat Rai Marg and Sabz Burj. This study will explore noise levels in both horizontal and vertical directions near roads surrounded by high-rise buildings. It will help the decision-makers take remedial measures.

Modelling road traffic Noise under heterogeneous traffic conditions using the graph-theoretic approach.

A traffic noise system involves several subsystems like road traffic subsystem, human subsystem, environment subsystem, traffic network subsystem, and urban prosperity subsystem. The study’s main aim was to develop road traffic noise models using a graph theory approach involving the parameters related to road traffic subsystem. The road traffic subsystem variables selected for the modeling purposes included vehicular speed, traffic volume, carriageway width, number of heavy vehicles, and number of honking events. The interaction of the selected variables considered in the form of permanent noise function is given in the matrix form. Eigenvalues and corresponding eigenvectors are calculated for removing any human judgmental error. The permanent noise function matrix was then updated using the eigenvectors, which was ultimately utilized for obtaining the permanent noise index. Data regarding the selected variables were collected for three months, and the noise parameters included in the study were equivalent noise level (Leq,1h), maximum noise level (L10,1h), and background noise level (L90,1h). A logarithmic transformation was applied to the permanent noise index and linear regression models were developed for Leq,1h , L90,1h , and L10,1h respectively. The models were validated using the data collected from the same locations for nine months. The models were found to provide satisfactory results, although the results were somewhat overestimated. The method can prove beneficial for estimating future noise levels, given the expected changes in values for the independent variables considered in the study.

Adaptive Differential Evolution Optimization-Based Noise-Level Measurement for High-Speed Railways

This paper deals with the possibilities of estimating noise pollution created by high-speed railway systems in nearby locations. Railway systems have significant effects on the environment. Therefore, a college campus situated near a high-speed railway was selected as the study area. In this paper, an adaptive differential evolution optimization (ADEO) algorithm-based noise-level measurement is proposed. Various measurements such as the noise levels indoors, outdoors, and near the track were carried out in the college area and applied to ADEO for optimization. A study of the impact of railway noise on student learning was made. ADEO was used to predict the maximum noise level and the maximum noise distribution in the college area through the model. An experimental study was performed, and the results were compared with the estimated results. The results indicated the consistency of both the estimated and experimental results and the error as less than 1 dBA; the noise level exceeded 65 dBA in a few classrooms. Therefore, the proposed noise measurement for high-speed railway based on the ADEO technique has been considered as the most effective and superior optimization tool.

Noise pollution and effectiveness of policy interventions for its control in Kathmandu, Nepal.

In Nepal, much emphasis has been given to the pollution of air, water, and solid waste both in terms of research and policymaking. Noise is an ignored pollutant, yet a growing public health concern in Kathmandu. This study is aimed at making an assessment of noise pollution in Kathmandu and study the effectiveness of the enforcement of noise standards and No Horn Regulation to control noise pollution. The study was conducted in 23 locations of four different zones (high traffic, low traffic, commercial, and residential) where 12 sites were considered for evaluating the effectiveness of No Horn Regulations. Noise level was studied at five different times of the day using a sound level meter to compute maximum, minimum, equivalent, and average noise level. This study concludes that (i) there is noise pollution problem in Kathmandu, (ii) No Horn Regulation is in place but it has not been strictly followed by the drivers and riders and monitored adequately by concerned authorities, and (iii) the regulation has been effective in reducing the noise level significantly. The average noise level of Kathmandu was recorded as 66.8 dB(A) with the highest noise level in High traffic zones, followed by commercial, low traffic, and residential zones. In 65.2% of the sampled sites, the noise level was beyond the permissible limit of WHO and National Sound Quality Standard of Nepal, 2012. Of the total honking events, 48.1% were against the provision of the No Horn Regulation. After the enforcement of the regulation, noise level was reduced significantly by 2.1 dB(A) in high traffic, low traffic, and residential zones. A comprehensive noise strategy with more emphasis on compliance monitoring and regular noise assessment should be formulated to address environmental noise as a major public health issue.

Effects of aircraft noise on residents nearby a Malaysian airport

In this study, the effects of aircraft noise on the residents living nearby Sultan Ismail Petra Airport, Kelantan, Malaysia, were investigated. A questionnaire survey involving 60 participants revealed that 46.67% agreed that aircraft noise is a source of disturbance in their daily routine. On-site noise level measurements were carried out over a 2-week period at seven locations (P1–P7) surrounding the airport, where each location represents a different distance from the noise source. The daily average noise levels were within 50–65 dB(A), which exceeded the World Health Organization’s recommended maximum indoor noise level and recommended maximum outdoor noise level of 35 and 55 dB(A), respectively. However, the daily average noise levels were lower than permissible exposure limit of 90 dB(A). Based on the results, it can be concluded that exposure to the aircraft noise may affect the quality of life of nearby residents in the long term.

The Role of the Medial Olivocochlear Reflex in Acceptable Noise Level in Adults.

The acceptable noise level (ANL) is a measurement used to quantify how much noise a person is willing to accept while listening to speech. ANL has been used to predict success with hearing aid use. However, physiological correlates of the ANL are poorly understood. One potential physiological correlate is the medial olivocochlear reflex (MOCR), which decreases the output of the cochlea and is thereby expected to increase noise tolerance. This study investigates the relationship between contralateral activation of the MOCR and tolerance of background noise. This study recruited 22 young adult participants with normal hearing. ANL was measured using the Arizona Travelogue recording under headphones presented at the most comfortable level (MCL) with and without multitalker babble noise. The MOCR strength was evaluated in all participants by measuring the cochlear microphonic (CM) with and without 40 dB sound pressure level contralateral broadband noise (CBBN). The CM observed in response to a 500-Hz tone was measured with and without CBBN, and changes in response to fast Fourier transform amplitude at 500 Hz were used as an indicator of the MOCR effect. The ANL was calculated by subtracting the maximum acceptable background noise level from the MCL. Participants were divided into two groups based on their ANL: low-ANL (ANL < 7 dB) and moderate-ANL (ANL ≥ 7 dB). An independent samples t-test was used to compare CM enhancement between low-ANL and moderate-ANL groups. Additionally, Pearson's correlation was used to investigate the relationship between the ANL and the MOCR effect on the CM. The results indicated that presentation of CBBN increased the CM amplitude, consistent with eliciting the MOCR. Participants in the low-ANL group had significantly larger CM enhancement than moderate-ANL participants. The results further revealed a significant correlation between the ANL and the MOCR effect on the CM. This study suggests that a stronger MOCR, as assessed using CM enhancement, is associated with greater noise tolerance. This research provides a possible objective measure to predict background tolerance in patients and adds to our understanding about the MOCR function in humans.

화장실 소음 성능기준 설정방안 고찰

This study aimed to suggest standards concerning apartment restroom noise, which is known to be the second most frequent noise complaint of residents, after floor-impact noise. To investigate the noise level, the restroom noise of 60 households has been measured from the restroom of the floor immediately below. The current standards are based on specification standards. However, to induce practical improvement, the standards need to be revised according to noise-level criteria. Based on the results of subjective response through laboratory assessment, a maximum noise level (L<SUB>max</SUB>) of 40 ㏈(A) was analyzed to be an appropriate criterion for restroom noise. However, considering both the measurement results and the subjective response, it seems to be necessary to strengthen the criterion to L<SUB>max</SUB> ≤ 45 ㏈(A) and 40 ㏈(A) for the first and second stages, respectively.

Annoyance among Staff and Noise Level in a Tertiary Care Hospital in New Delhi, India: A Pilot Study

Introduction: In India, an area of not less than 100 metres around a hospital is considered a silence zone, with guidelines restricting noise levels at 50dBA during daytime and 40dBA during the night. Annoyance is a known effect of noise exposure. Objectives: To determine the feasibility of an extensive study on noise in the hospital, annoyance in staff due to hospital noise and its associated factors. Methods: Noise data was collected from 3 sites, using a Digital Integrating Sound Level Meter, LutronSL-4035SD(ISO-9001,CE,IEC1010) meeting IEC61672 standards. Stratified random sampling of staff was done on basis of noise exposure. A pre-designed, semi-structured questionnaire collected information on sociodemographic and work profile. Annoyance was measured using standardized general purpose noise reaction questionnaire (ISO-TS/ 15666). Data was analysed in SPSS. Result: Laeq ranged from 56dB in nephrology ward to 89.2dB at OPD atrium. Maximum noise level was 98.6dB in OPD atrium and 86.1dB in nephrology ward. Levels at night in ward were higher than during day time. 24 (53.3%) of the staff said their workplace is noisy, while 26(57.8%) were annoyed by workplace noise. Annoyance due to hospital noise was associated with age (p=0.003), duration of work in hospital per week (p=0.04), duration of work in current department (p=0.007), noise level (p=0.04) and workplace distance from arterial road (p=0.02). Conclusion: Hospital noise levels are higher than recommended levels for sensitive zones as per national guidelines and exceed levels inside wards as stipulated by WHO. More than half the study population were annoyed by workplace noise indicating need for interventions. A study throughout the hospital to study noise levels and annoyance among staff following similar methodology is feasible and necessary.

Noise vulnerability of stone mining and crushing in Dwarka river basin of Eastern India

The present paper has intended to explore the noise level and vulnerability to noise produced in the stone mining and crushing area and the surroundings in the heavily stressed stone mining and crushing area of Middle catchment of Dwarka river basin of Eastern India. Field-based noise recording has been done at different times in every recorded days. Fuzzy logic-based weighting and integration of eight parameters have been done in four selected cluster for noise susceptibility mapping. For exploring noise annoyance odd and risk ratio have been computed for different communities. From the recorded noise level in stone crushing clusters, it is found that the noise level is > 85 dBA from 6 a.m. to 4 p.m. when the stone crushers are running on and it is above the ambient noise threshold defined by Central Pollution Control Board in 2000. Maximum noise level is recorded as 112.41 dBA which may cause deafness. Noise intensity gradually decreases from crushing centre towards outside and it prevails up to 500–650 m away from the crushing unit. Noise vulnerable areas constructed based on eight noise level addressing and noise effect indicating parameters using fuzzy logic revealed that about 10.46–27.98% areas fall under very high to high noise vulnerable zones. Therefore, the labourers and the peoples who are living at close proximity of crusher units are highly prone to noise pollution along with stone dust pollution. The effect of noise is highly age and sex sensitive due to their differences in physical strength. These findings could effectively be used for saving the exposed communities from noise vulnerability.

Smartphone monitoring of in-ambulance vibration and noise.

Transferring sick premature infants between hospitals increases the risk of severe brain injury, potentially linked to the excessive exposure to noise, vibration and driving-related accelerations. One method of reducing these levels may be to travel along smoother and quieter roads at an optimal speed, however this requires mass data on the effect of roads on the environment within ambulances. An app for the Android operating system has been developed for the purpose of recording vibration, noise levels, location and speed data during ambulance journeys. Smartphone accelerometers were calibrated using sinusoidal excitation and the microphones using calibrated pink noise. Four smartphones were provided to the local neonatal transport team and mounted on their neonatal transport systems to collect data. Repeatability of app recordings was assessed by comparing 37 journeys, made during the study period, along an 8.5 km single carriageway. The smartphones were found to have an accelerometer accurate to 5% up to 55 Hz and microphone accurate to 0.8 dB up to 80 dB. Use of the app was readily adopted by the neonatal transport team, recording more than 97,000 km of journeys in 1 year. To enable comparison between journeys, the 8.5 km route was split into 10 m segments. Interquartile ranges for vehicle speed, vertical acceleration and maximum noise level were consistent across all segments (within 0.99 m . s-1, 0.13 m · s-2 and 1.4 dB, respectively). Vertical accelerations registered were representative of the road surface. Noise levels correlated with vehicle speed. Android smartphones are a viable method of accurate mass data collection for this application. We now propose to utilise this approach to reduce potential harmful exposure, from vibration and noise, by routing ambulances along the most comfortable roads.

Forensic Evaluation of Construction Noise and Vibrations Associated with an Urban Drainage Project

This study performed a forensic evaluation of construction noise and ground vibration propagation to surrounding residential and commercial structures as a result of an urban drainage improvement construction project. Noise and vibration data collected during the course of the drainage project was first evaluated for conformance with the project specifications and data collection protocols. Construction equipment utilization logs were used to create a “time history” of daily maximum noise levels, which were contrasted with the maximum allowable per the project specifications. Attenuation relationships were used to delineate ground vibration extents and magnitudes propagating from the source to adjacent receptors (i.e., structures). The forensic engineer (FE) found significant deviations from the required data collection protocols and a high degree of “under-reporting.” Construction-induced noise and ground vibrations were determined to be “substantial factors of harm” to the adjacent structures.

A GPU-Accelerated Modified Unsharp-Masking Method for High-Frequency Background- Noise Suppression

A digitized analog signal often encounters a high-frequency noisy background which degrades the signal-to-noise ratio (SNR) particularly in case of low signal strength. Despite quite a lot of hardware- and software-based approaches have been reported to date to deal with the noise issue, it is still a challenging task to real-time retrieve the noise-contaminated low-frequency information efficiently without degrading the original bandwidth. In this paper, we report a modified unsharp-masking (UM)-based Graphics Processing Unit (GPU)-accelerated algorithm to efficiently suppress a high-frequency noisy background in a digitized two-dimensional image. The proposed idea works effectively even if noise-density is high and signal of interest is comparable or weaker than the maximum noise level. While suppressing the noisy background, the original resolution remains least compromised. We first explore the effectiveness of the algorithm by means of simulated images and subsequently extend our demonstration towards a real-world life-science imaging application. Securing a potential for real-time applicability, we implement the algorithm via Compute Unified Device Architecture (CUDA)-acceleration and preserve a <; 300 μs processing time for a 1000×1000-sized 8-bit data set.