Deep Xi: A deep learning approach to a priori SNR estimation implemented in TensorFlow 2/Keras. For speech enhancement and robust ASR.

Fast image noise estimation (Estimation of Gaussian, signal-dependent, and processed noise in Image and Video Signals)

Noise-level estimation using minima controlled recursive averaging approach and denoising using Stein's unbiased risk estimates in STFT domain.

An implementation for noise model estimation method of "A Physics-based Noise Formation Model for Extreme Low-light Raw Denoising", CVPR 2020.

Code basis for the paper "Real-time Noise Source Estimation of a Camera System from an Image and Metadata" (Advanced Intelligent Systems, 2024)

Code basis for the paper "Monitoring and Adapting the Physical State of a Camera for Autonomous Vehicles" (2023)

Official implementation of the noise estimation method "Video Signal-Dependent Noise Estimation via Inter-frame Prediction", ICIP 2022.

Using deep convolutional neural networks for estimating levels of noise based on single image

Noise estimation in fMRI signals. An AGH-UST project.

Verilog-A test block for estimating noise and offset of a dynamic comparator in a transient simulation. Uses the Confidence-Boosting concept published at NEWCAS 2024.

This code implements the method outlined in "Noise-Level Estimation from Single Color Image Using Correlations Between Textures in RGB Channels" by Akihiro Nakamura and Michihiro Kobayashi.

A new loss proposed that are sensitive towards image corruption and high information to noise trade off