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How do you reduce noise in Photoshop Piximperfect?

Image processing

Dynamic time warping

Terahertz radiation

Bilateral filter

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Proceedings Article•DOI A new image denoising method based on the bilateral filter Ming Zhang, Bahadir K. Gunturk - Show less +1 more 12 May 2008 44 Citations	In this paper we propose a new method to reduce noise in digital images.
Open access•Journal Article•DOI Improved microcirculation imaging of human skin in vivo using optical microangiography with a correlation mapping mask. Woo June Choi, Roberto Reif, Siavash Yousefi, Ruikang K. Wang - Show less +3 more 01 Mar 2014-Journal of Biomedical Optics 72 Citations	Here, we propose a method that can significantly reduce this noise.
Journal Article•DOI Terahertz multiwavelength phase imaging without 2π ambiguity Lei Zhang, Yan Zhang, Cunlin Zhang, Yuejin Zhao, Xiaohua Liu - Show less +4 more 15 Dec 2006-Optics Letters 28 Citations	Furthermore, this technique can effectively reduce the noise background.
Proceedings Article•DOI A solution to residual noise in speech denoising with sparse representation Yongjun He, Jiqing Han, Shiwen Deng, Tieran Zheng, Guibin Zheng - Show less +4 more 25 Mar 2012 19 Citations	Experimental results show that the proposed method can reduce residual noise substantially.
Journal Article•DOI Medical Image Denoising Using Sub Band Adaptive Thresholding Techniques Based on Wavelet 2D Transform Sonali Singh, Sulochana Wadhwani - Show less +1 more 31 Oct 2015 7 Citations	The proposed method reduce the noise from image more effectively.
Open access•Book Chapter•DOI Reducing the effect of noise on human contour in gait recognition Shiqi Yu, Daoliang Tan, Kaiqi Huang, Tieniu Tan - Show less +3 more 27 Aug 2007 34 Citations	To improve the performance, we have to reduce the effect of noise.

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What are the best way to reduce noise in an image?3 answersThe best way to reduce noise in an image is by utilizing various filtering techniques. One approach is to use diffusion equations, such as isotropic and anisotropic diffusion, which have been found to effectively reduce noise levels in images. Another method is to apply filters like the Median, Wiener, and Gaussian filters, which can remove different types of noise such as Gaussian, salt-and-pepper, and speckle noise. Additionally, non-linear median filters have been found to be useful in reducing impulse, Gaussian, and speckle noise in grayscale images. It is also important to consider the noise model of the image and select appropriate filtering techniques accordingly. Furthermore, an image noise reduction method based on a multi-scale parallel gating neural network has been proposed, which utilizes multi-scale information to remove noise while preserving the original image information.

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