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Can we remove background noise from video in Inshot? 

Gaussian noise
Video denoising
Median filter
Salt-and-pepper noise
Wavelet transform

Answers from top 14 papers

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Papers (14)Insight
Proceedings Article•DOI
Face location in wavelet-based video compression for high perceptual quality videoconferencing
Jiebo Luo, Chang Wen Chen, Kevin J. Parker 
23 Oct 1995
22 Citations
Moreover, the resultant larger quantization noise in the background can be suppressed using an edge-preserving enhancement algorithm.
Proceedings Article•DOI
A new kind of impulse noise filter based on PCNN
Ma Yi-de, Shi Fei, Li Lian 
01 Jan 2003
27 Citations
Not only can it remove the impulse noise effectively, but it also keeps the details of the images as much as possible.
Open access•Journal Article•DOI
An Efficient Filtering Technique for Denoising Colour Images
K. Arun Sai, K. Ravi 
01 Oct 2018-International Journal of Electrical and Computer Engineering
This technique can remove the noise effectively by retaining image border and detail data clearly.
Open access•Proceedings Article•DOI
Direction of arrival tracking of an underwater acoustic source using particle filtering: Real data experiments
Xionghu Zhong, A.B. Premkumar, Wenwu Wang 
17 Apr 2013
14 Citations
Hence, the the effect due to background noise can be reduced.
Proceedings Article•DOI
A spatiotemporal background extractor using a single-layer codebook model
Chih-Wei Lin, Wei-Jie Liao, Chu-Song Chen, Yi-Ping Hung 
01 Aug 2014
The proposed method can efficiently capture the foreground and eliminates the noise of background.
Proceedings Article•DOI
Image Denoising Based on Support Vector Machine
Guo-Duo Zhang, Xu-Hong Yang, Hang Xu, Dong-Qing Lu, Yong-Xiao Liu 
27 May 2012
Simulation results show that the method can save the image detail better, restore the original image and remove noise.
Proceedings Article•DOI
Film grain noise modeling in advanced video coding
Byung Tae Oh, C.-C. Jay Kuo, Shijun Sun, Shaw-Min Lei 
28 Jan 2007
15 Citations
It is desirable to extract film grain noise from the input video as a pre-processing step at the encoder and re-synthesize the film grain noise and add it back to the decoded video as a post-processing step at the decoder.
Proceedings Article•DOI
A New Self-Adaptive Weighted Filter for Removing Noise in Infrared Images
Jiahui Wang, Jingxin Hong 
28 Dec 2009
17 Citations
The new algorithm can not only remove mixed noise effectively, but also reserve image details.
Open access•Journal Article•DOI
A New Image Denoising Method Based on Adaptive Multiscale Morphological Edge Detection
Gang Wang, Zesong Wang, Jinhai Liu 
05 Apr 2017-Mathematical Problems in Engineering
17 Citations
Experimental results show that this method can effectively remove the image noise without blurring edges and highlight the characteristics of image edge at the same time.
Journal Article•DOI
Combined spatial and temporal domain wavelet shrinkage algorithm for video denoising
Eric J. Balster, Yuan F. Zheng, Robert L. Ewing 
01 Sep 2006-IEEE Transactions on Circuits and Systems for Video Technology
95 Citations
Using motion and noise level estimates, a video denoising technique is established which is robust to various levels of noise corruption and various levels of motion.
Journal Article•DOI
Difference-type noise detector for adaptive median filter
S.-Q. Yuan, Yonghong Tan 
13 Apr 2006-Electronics Letters
19 Citations
Experimental results show that the proposed filter can well remove the impulse noise and preserve more details of original images.
Proceedings Article•DOI
Comprehensive Analysis on the Effects of Noise Estimation Strategies on Image Noise Artifact Suppression Performance
Angus Leigh, Alexander Wong, David A. Clausi, Paul Fieguth 
05 Dec 2011
13 Citations
The outcome of this research is clear recommendations that can be used in practise when suppressing noise artifacts exhibited in digital imagery and video.
Journal Article•DOI
Background noise suppression using trainable nonlinear reaction diffusion assisted by robust principal component analysis
Nan Jia, Haitao Ma, Xintong Dong, Yue Li 
25 Mar 2020-Exploration Geophysics
The results demonstrate that the proposed method can suppress background noise more effectively than conventional methods.
Open access•Journal Article•DOI
New filtering technique for the impulsive noise reduction in color images
B. Smolka, Andrzej Chydzinski, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos 
01 Jan 2004-Mathematical Problems in Engineering
22 Citations
Themethod is able to remove the noise component, while adapting itself to the local image structure.

Related Questions

How do I reduce background voice from my video on inshot?2 answersTo reduce background voice from your video on InShot, you can use visual speech enhancement techniques based on audio-visual neural networks. These methods utilize the visible mouth movements of the speaker seen in the video to enhance the voice and reduce background noise. By training the model with videos that have the voice of the target speaker added as background noise, the model can better exploit the visual input and generalize well to different noise types. This approach has been shown to outperform prior audio-visual methods on lipreading datasets and can even be applied to videos not designed for lipreading, such as Barack Obama's weekly addresses. Additionally, isolating the voice of a specific person can be achieved by using audio-visual methods that estimate the speaker's voice based on face motions captured in the video and apply the speech predictions as a filter on the noisy input audio. These methods have demonstrated significant improvements in speech-to-distortion ratio (SDR) and perceptual evaluation of speech quality (PESQ) over raw video-to-speech predictions and audio-only methods.
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