#denoising — Public Fediverse posts

Someone at AI Research Roundup made a video about our SharpXR: Structure-Aware Denoising for Pediatric X-Rays
https://www.youtube.com/watch?v=UXFYh7GPDR4

#AI #MachineLearning #DeepLearning #MedicalImaging #Denoising #PediatricRadiology #ChestXRay

Aiarty Video Enhancer: Desktop AI Tool for Upscaling, Denoising & Deblurring – Faster Than Ever! https://petapixel.com/2025/06/13/aiarty-video-enhancer-desktop-ai-tool-for-upscaling-denoising-deblurring-faster-than-ever/ #VideoEnhancer #deblurring #Sponsored #Denoising #sponsored #upscaling #Software #editing #aiarty

Audiotame: denoise and normalize audio via command line or Gradio Web UI. Demo available on Hugging Face

Repo: https://github.com/lvxvvv/audiotame

Demo: https://huggingface.co/spaces/lvxvvv/audiotame

#OpenSource #AudioProcessing #Denoising #Normalization #FOSS #ffmpeg #gradio #huggingface

Audiotame: denoise and normalize audio via command line or Gradio Web UI. Demo available on Hugging Face

Repo: https://github.com/lvxvvv/audiotame

Demo: https://huggingface.co/spaces/lvxvvv/audiotame

#OpenSource #AudioProcessing #Denoising #Normalization #FOSS #ffmpeg #gradio #huggingface

'On Efficient and Scalable Computation of the Nonparametric Maximum Likelihood Estimator in Mixture Models', by Yangjing Zhang, Ying Cui, Bodhisattva Sen, Kim-Chuan Toh.

http://jmlr.org/papers/v25/22-1120.html

#hessian #denoising #likelihood

'Lifted Bregman Training of Neural Networks', by Xiaoyu Wang, Martin Benning.

http://jmlr.org/papers/v24/22-0934.html

#autoencoders #classifiers #denoising

"Binlets: Data fusion-aware denoising enables accurate and unbiased quantification of multichannel signals", Silberberg & Grecco, 2023 https://www.sciencedirect.com/science/article/pii/S1566253523003159

Old school signal processing, not based on machine learning but instead on a translation-invariant Haar wavelet decomposition, profitably exploiting correlations across channels. The manuscript includes an accessible and brief "Theory" section and a longer appendix. All it needs to run is a test function between two data points.

In their benchmarks and use cases, the new method outperforms existing denoising methods. In both time series and on fluorescent microscopy images.

There's a repository available https://github.com/maurosilber/binlets and can be installed with `pip install binlets`.

#denoising #SignalProcessing #wavelets #ComputerVision

"Binlets: Data fusion-aware denoising enables accurate and unbiased quantification of multichannel signals", Silberberg & Grecco, 2023 https://www.sciencedirect.com/science/article/pii/S1566253523003159

Old school signal processing, not based on machine learning but instead on a translation-invariant Haar wavelet decomposition, profitably exploiting correlations across channels. The manuscript includes an accessible and brief "Theory" section and a longer appendix. All it needs to run is a test function between two data points.

In their benchmarks and use cases, the new method outperforms existing denoising methods. In both time series and on fluorescent microscopy images.

There's a repository available https://github.com/maurosilber/binlets and can be installed with `pip install binlets`.

#denoising #SignalProcessing #wavelets #ComputerVision

"Binlets: Data fusion-aware denoising enables accurate and unbiased quantification of multichannel signals", Silberberg & Grecco, 2023 https://www.sciencedirect.com/science/article/pii/S1566253523003159

Old school signal processing, not based on machine learning but instead on a translation-invariant Haar wavelet decomposition, profitably exploiting correlations across channels. The manuscript includes an accessible and brief "Theory" section and a longer appendix. All it needs to run is a test function between two data points.

In their benchmarks and use cases, the new method outperforms existing denoising methods. In both time series and on fluorescent microscopy images.

There's a repository available https://github.com/maurosilber/binlets and can be installed with `pip install binlets`.

#denoising #SignalProcessing #wavelets #ComputerVision

"Binlets: Data fusion-aware denoising enables accurate and unbiased quantification of multichannel signals", Silberberg & Grecco, 2023 https://www.sciencedirect.com/science/article/pii/S1566253523003159

Old school signal processing, not based on machine learning but instead on a translation-invariant Haar wavelet decomposition, profitably exploiting correlations across channels. The manuscript includes an accessible and brief "Theory" section and a longer appendix. All it needs to run is a test function between two data points.

In their benchmarks and use cases, the new method outperforms existing denoising methods. In both time series and on fluorescent microscopy images.

There's a repository available https://github.com/maurosilber/binlets and can be installed with `pip install binlets`.

#denoising #SignalProcessing #wavelets #ComputerVision

"Binlets: Data fusion-aware denoising enables accurate and unbiased quantification of multichannel signals", Silberberg & Grecco, 2023 https://www.sciencedirect.com/science/article/pii/S1566253523003159

Old school signal processing, not based on machine learning but instead on a translation-invariant Haar wavelet decomposition, profitably exploiting correlations across channels. The manuscript includes an accessible and brief "Theory" section and a longer appendix. All it needs to run is a test function between two data points.

In their benchmarks and use cases, the new method outperforms existing denoising methods. In both time series and on fluorescent microscopy images.

There's a repository available https://github.com/maurosilber/binlets and can be installed with `pip install binlets`.

#denoising #SignalProcessing #wavelets #ComputerVision

Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration

Mauricio Delbracio, Peyman Milanfar

Action editor: Jia-Bin Huang.

https://openreview.net/forum?id=VmyFF5lL3F

#denoising #restoration #deblurring

New #FeaturedCertification:

Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration

Mauricio Delbracio, Peyman Milanfar

https://openreview.net/forum?id=VmyFF5lL3F

#denoising #restoration #deblurring

Training Data Size Induced Double Descent For Denoising Feedforward Neural Networks and the Role ...

Rishi Sonthalia, Raj Rao Nadakuditi

https://openreview.net/forum?id=FdMWtpVT1I

#denoising #generalization #shrinkage

Here's a idea for #AI #NLP #developers.

Create a #StableDiffusion dataset, which contains one #english word each pixel color, and a large set of images correlates which words are often used with each other.

Teach a diffusion set, with these words, then let #denoising find the answer to any text prompt, transforming pixels to words.

I know, it might sound stupid, but what a fun #experiment it would be.

Feel free to use my #idea. If it works, #attribute me 😁

#arxivfeed

"Derivative-based SINDy (DSINDy): Addressing the challenge of discovering governing equations from noisy data"
https://arxiv.org/abs/2211.05918v1

#denoising #SINDy #nonlinear #dynamics #data #ODE #modelling