Skip to main content
Share Your Experience: Take the 2024 Developer Survey

Questions tagged [denoising]

Denoising is a collection of techniques to remove unwanted noise from a signal. Typically this is done by filtering, but a variety of other techniques is available. Often combinations are used in sequence to optimize the denoising.

Filter by
Sorted by
Tagged with
0 votes
2 answers
91 views

How to remove known noise from acquired signals

what is the question: I have some time sequences(sampled at 0.5s and 3kHz which means every one of them has 1,500 points) from my force sensor. But I find the signal fluctuates wildly under no load, ...
Erdong111's user avatar
3 votes
0 answers
318 views

Is this better detection and Gaussian noise cancellation technique than Matched Filter

The code below generates one sinusoid and considered as known signal. One needs to find the location of the signals under additive Gaussian noise. The known signals is comprise of the sinusoids with ...
Creator's user avatar
  • 88
2 votes
2 answers
105 views

How can I denoise this signal?

I have data captured by a wireless sensor that is noisy. It randomly jumps in value frequently, and I want to know what this signal will look like without these jumps. I am looking for an elegant ...
stochasticlover1's user avatar
1 vote
2 answers
139 views

What is the best method to filter a signal where baseline and the signal of interest have overlapping frequency range?

I am reading out the movement of a motor arm using a Hall sensor and a magnet pair. The hall sensor measures the distance between the sensor and the magnet. The motor arm is being moved with a band-...
chinmayeelm's user avatar
2 votes
0 answers
43 views

Online Noise Reduction on Non-Stationary, Broadband Signals

im capturing ultrasonic waves using an analog MEMS mic and other components on a PCB. My signal is similiar broadband and non-stationary (see 2) and im trying to remove/reduce environmental noise. I ...
Tom's user avatar
  • 131
0 votes
0 answers
62 views

PSNR decreases while denoising

I currently am trying to portray PSNR's ability to measure noise in an image. The PSNR is said to be high (around 40 dB) if there is a low amount of noise in the 2D signal. In my experiment I have ...
nils's user avatar
  • 1
1 vote
0 answers
14 views

Avoiding latency distortion at high denoise levels with DWT

I am denoising biological signals using the DWT, and for UI reasons would prefer the smoother waveform afforded by denoise level 5. However, higher denoise levels seem to distort the latency of ...
Brian Barry's user avatar
0 votes
0 answers
63 views

How do I eliminate background noise?

After I use deep learning algorithm to enhance the speech, the speech will still have a weak background noise.The background noise of this audio has little effect on the calculation of SNR, but it ...
Killuaisaack's user avatar
2 votes
2 answers
85 views

How to Dereverberate Speech taken in an Auditorium with Reverberation Time of 3.8 to 4 seconds

I'd like to cancel echoes from a Talk recorded in a large extremely reverberant auditorium. It's unintelligible as recorded, and I'm hoping to make it intelligible by echo cancellation. Audio was ...
philwalk's user avatar
  • 121
3 votes
1 answer
91 views

Adaptive filtering [duplicate]

I want to mention upfront that I'm not very experienced in this field. I have a signal $u(k)$ that I get from a black box simulation (sampled irregularly). The signal looks like this: The blue signal ...
KJM's user avatar
  • 33
0 votes
0 answers
34 views

How do I remove the aurora from an image to enhance the background stars?

Most auroral pictures are post-processed and enhance the aurora to such an extent that you don't see the background stars. Suppose I have a photo of the night sky with an aurora, taken with my phone ...
requiemman's user avatar
0 votes
0 answers
69 views

78RPM 1900's records - is there more in the high end signal than humans hear, and could ML extract it?

Consider some record with Enrico Caruso singing, anno 1904 or so. Back then, records did not employ pre-distortion such as with RIAA curve to then later, during playback, invert the curve, to get a ...
user1847129's user avatar
0 votes
2 answers
126 views

Brrrrrrrrr clanky clank VHS noise

I have audio of VHS with speech and music, and with noise of frequency that's higher and lower than most of human speech, with apparently least but still significant energy in-between, that cannot be ...
OverLordGoldDragon's user avatar
7 votes
1 answer
209 views

Noise leakage problem with least square estimation in the frequency-distance domain

I have data $d$ recorded from an antenna of sensors. These data are composed of a Gaussian noise $n$ and a signal $s$ which I try to estimate. This signal propagates on the antenna with frequency ...
User327201's user avatar
1 vote
1 answer
51 views

Basic audio denoising in the frequency domain using minimum statistics?

I'm trying to do some example elementary denoising of the audio signal. Let's say input is speech with constant traffic background noise. First I calculated block-based overlap-add Fourier transform (...
Danijel's user avatar
  • 492
3 votes
1 answer
142 views

What process could generate this kind of noise in the multitaper spectrum?

I am recording some data for scientific purposes (it is neurological data), and the data is corrupted by some very strange noise. At multiples of about 700 Hz (slightly differing on different days) ...
Keine_Eule's user avatar
5 votes
1 answer
149 views

Bibliographic References on Denoising Distributed Acoustic data with Deep Learning

Distributed Acoustic Sensing (DAS) I have an iDAS (intelligent distributed acoustic sensing) dataset obtain from an undersea optical fibre. iDAS data have a 2D dimensional representation. On the one ...
ChrisNick92's user avatar
3 votes
1 answer
61 views

Edge / Pixel Type (Homogenous, Edge, Texture) Classification as Part of an Image Denoising Procedure

For most noise reduction algorithm, the same process is applied to every pixel no matter the pixel belongs to one of three types of pixels such as homogeneous regions, edges or textures. Different ...
Jogging Song's user avatar
3 votes
1 answer
3k views

Removing white reflective pixels from scanned RGB image (Python - preferably OpenCV)

The images above are tiles taken from a scanned painting. It's easy to see where there are tiny reflections scattered throughout. I wish to remove (or diminish) the tiny reflections somehow, across a ...
Konchog's user avatar
  • 161
1 vote
1 answer
66 views

bias-variance trade-off in image denoising

I am reading the paper A Bias-Variance Approach for the Nonlocal Means. One sentence from the paper is as follow: To discuss the tuning of parameters of the NLM, we interpret this choice as a bias-...
Jogging Song's user avatar
1 vote
1 answer
265 views

If I know the RMS noise/the variance of a DC measurement, can I simply subtract it from the measurement?

Let's say I have an electronic system that's taking a measurement. It provides a simple bipolar excitation current to a resistive load (bipolar square wave so as to cancel out thermal emf), puts it ...
Shredder's user avatar
  • 123
0 votes
0 answers
70 views

Weird filtering result

Im filtering some ecg data for mainly just powerline noise (50 Hz), but get some weird result between the R-peaks (main spike). I have just done some tried with some basic filtering like this: ...
vegiv's user avatar
  • 46
1 vote
1 answer
154 views

understand short time fourier transform

I am reading this paper for signal denoising. In the paper, the authors says The core concept in this paper is to compute a regression between a noisy signal frame and a clean signal frame in the ...
Simple's user avatar
  • 155
5 votes
2 answers
1k views

Can the deconvolution Wiener filter reduce noise without having a blurred image?

I am trying to denoise many several noises with several filters for a research i have, i found a deconvolution Wiener filter made by "mr.tranleanh" on Github, as you can see here . what I ...
kode224's user avatar
  • 53
0 votes
0 answers
885 views

FFT denoising vs low pass filter

Say I have a noisy signal in which I want to denoise. There's two methods I'm considering FFT denoising, where I take the FFT of the signal and then threshold somewhere, attenuate all the frequencies ...
Nobody Special's user avatar
4 votes
1 answer
198 views

Denoising a Grayscale Image Using Random Matrix Theory (RMT)

I am applying RMT on grayscale images. Basically for any matrix, it consists of two parts: one is pure noise and other is information. Now, to distinguish noise from information, RMT comes handy. We ...
Jaimin's user avatar
  • 41
-1 votes
1 answer
117 views

Why NMSE is the same as output SNR but with an opposite sign?

I am doing denoising on signal, and as performance measures Normalized Mean Squared Error (NMSE) and output-SNR between original/clean and denoised signals are used. However, for several cases the ...
Fktime's user avatar
  • 1
5 votes
2 answers
375 views

The Effect of Spatial or Temporal Averaging on Noise Properties

I generate two noise images using MATLAB's function imnoise(). If I average the two noise images, the resultant image looks like the original noise image but only ...
Jogging Song's user avatar
2 votes
1 answer
368 views

Hankel Matrix SVD Denoising

I have performed Hankel Matrix Singular Value Decomposition de-noising to smooth out my univariate time series. It is the close price of EUR/USD exchange rate. Here is a picture: The problem I have is ...
DomIsAwesomee's user avatar
1 vote
1 answer
82 views

Removing the Dot-Patterns Like Noise

I am dealing with an image restoration problem with noisy measurement. I use the classical total variation norm to remove the noise, specifically, the TV-$L_2$ problem. I used the famous Lena image ...
stander Qiu's user avatar
5 votes
1 answer
279 views

Solving a Weighted Basis Pursuit Denoising Problem (BPDN) with MATLAB / CVX

Following up from an answer by @Royi on adding weights to BPDN problem , I would like to use CVX to test this approach. How can we formulate in CVX the regularized LS L1 norm with weights given by a ...
bla's user avatar
  • 588
1 vote
1 answer
414 views

Does BM3D really need the noise power spectrum beforehand?

I'm at the moment trying to implement a neural network which uses BM3D as a preprocessing step. The problem is, when using the python implementation of BM3D from the paper Collaborative Filtering of ...
Gabriel Oliveira's user avatar
1 vote
2 answers
149 views

How to remove heartbeat signal from blood pressure signal?

I am working on a medical engineering project that involves processing signals received from a human body. We use a sensor to record the blood pressure, $B(t)$. However, if you put your finger on many ...
user59116's user avatar
2 votes
1 answer
350 views

How to predict the final noise after adding two or more noisy discrete signals?

Is it possible to accurately predict the noise level if we add two or more noisy signals. For the sake of simplicity, let us say, the noise is independent and Gaussian. Suppose we wish to add signals $...
AChem's user avatar
  • 569
1 vote
0 answers
61 views

Remove Noise from Discrete Signal with given Noise Model

I am interested in finding the true signal $p \in \mathbb{R}^D$ of an observed discrete signal $t \in \mathbb{Z}_{+}^D$. I know that each observed $t_{i}$ with $1 \leq i \leq D$ is the result of a ...
N8_Coder's user avatar
  • 223
2 votes
1 answer
632 views

Solve Efficiently the 1D Total Variation Regularized Least Squares Problem (Denoising / Deblurring)

How to solve a 1D Least Squares with Total Variation Regularization? I know gradient based methods, I wonder how much faster / efficient I can get.
Mark's user avatar
  • 357
4 votes
1 answer
269 views

How to Remove Temporal and Fixed Pattern Noise and Apply Tone Mapping?

I have a video, whose frames I have extracted and require to work with. 16 bits and grayscale images. My task is to improve the quality of the images, by removing the noise + adding tone mapping and ...
SrirakshaVR's user avatar
-1 votes
1 answer
62 views

Verifying if noise is gaussian in non-time series data

I'm trying to figure out if the noise in my experiments is gaussian or not. I don't have time series data. I first configure my system and then run some software application's and measure the average ...
Tez_Nikka's user avatar
6 votes
2 answers
2k views

How to Solve Image Denoising with Total Variation Prior Using ADMM?

I was looking at some articles or Wikipedia on denoising images using the Total Variation norm. The setup is the Rudin Osher Fatemi (ROF) scheme, and the corresponding equation is: $$ F(u)=\int_{\...
krishnab's user avatar
  • 257
0 votes
1 answer
56 views

Digital Filters

If I want to remove the baseline drift in my ECG signal, which digital filter should be used without distortion and shift in my filtered output? What are the necessary things I have to look for the ...
Kesavaraja C's user avatar
0 votes
2 answers
165 views

GPS | Retain Signal Tracking after Noise Bound

I have an IF data, 2 seconds signal sample from only one GPS satellite, I know the PRN number of the satellite. ...
Faruk UNAL's user avatar
0 votes
1 answer
462 views

How to filter sudden spikes and baseline changes in microphone signal?

The orange is a signal I recorded, the blue - my first restoration attempt, after which I decided to ask. The signal is audible, however there are 2 types of defects 1) baseline changes 2) sudden ...
Emil's user avatar
  • 101
0 votes
0 answers
1k views

Pre-Processing Wi-Fi Channel State Information (CSI) Data

I was successfully able to collect some CSI data using the existing tool(s) on GitHub (https://github.com/StevenMHernandez/ESP32-CSI-Tool). The CSI data is a pair of imaginary and real number which ...
RikeshMM's user avatar
1 vote
1 answer
222 views

Adding noise to real MRI data

I designed an algorithm for MRI data denoising which has good properties under heavy Rician noise (sigma is greater than 80). The method was tested on some phantoms and Rician noise generators. Now I ...
cabal's user avatar
  • 27
0 votes
0 answers
47 views

Deconvolution of sidelobes in a point spread function?

It seems that most deconvolution algorithms mainly handle the main lobe of a point spread function (PSF) and assume that sidelobes can be safely neglected. For a direct algorithm trying to perform a ...
Orhym's user avatar
  • 101
2 votes
1 answer
52 views

Image noise reduction

I have an image of a cross-section of soil where the main object of interest are the plant roots. I would like to segment or extract the roots from the background noise of the soil itself and other ...
qboomerang's user avatar
4 votes
2 answers
352 views

Is it possible to remove the non-random noise in the signal by averaging?

Ex: We're measuring vibration Frequency response of a structure, and at the same time there is a constant source of vibration (noise) from a pump. The pump is exciting the structure by sinusoid ...
AJ3's user avatar
  • 41
6 votes
2 answers
1k views

What is the advantage of Wiener filter for noise reduction of a 1D signal?

I have a 1D signal, acquired by an accelerator sensor that measure the vibration of a structure. What is the advantage of using a Wiener filter for noise reduction compared to the other (more classic) ...
EmThorns's user avatar
  • 393
0 votes
1 answer
64 views

Time averaging denoising signal

I would like to use time averaging technique for denoising vibration signal, using the below function, how do we choose the appropriate parameters D and N for optimal denoising ! ...
RIMA's user avatar
  • 43
1 vote
0 answers
38 views

Noise removal where gains are >1

I am currently working on some noise removal algorithms and have come across what seems to be an oversight in the design of some of these algorithms. Two of the algorithms I am looking at use the PSD ...
Jack_P's user avatar
  • 11

1
2 3 4 5