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Denoising is the task of removing noise from an image.

( Image credit: Beyond a Gaussian Denoiser )

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Latest papers without code

Real-Time Video Super-Resolution by Joint Local Inference and Global Parameter Estimation

6 May 2021

Deep models are therefore trained to undo downscaling and do not generalize to super-resolving real-world images.

DENOISING VIDEO DENOISING VIDEO ENHANCEMENT VIDEO SUPER-RESOLUTION

Towards Interpretable and Transferable Speech Emotion Recognition: Latent Representation Based Analysis of Features, Methods and Corpora

5 May 2021

Furthermore, due to the black-box nature of deep learning algorithms, a newer challenge is the lack of interpretation and transparency in the models and the decision making process.

DECISION MAKING DENOISING EMOTION CLASSIFICATION SPEECH EMOTION RECOGNITION

Fully Learnable Deep Wavelet Transform for Unsupervised Monitoring of High-Frequency Time Series

3 May 2021

Using deep learning, we make this architecture fully learnable: both the wavelet bases and the wavelet coefficient denoising are learnable.

DENOISING TIME SERIES

Simultaneous Denoising and Localization Network for Photoacoustic Target Localization

30 Apr 2021

The network trained on this novel dataset accurately locates targets in experimental PA data that is clinically relevant with respect to the localization of vessels, needles, or brachytherapy seeds.

DENOISING

Complex-valued Convolutional Neural Networks for Enhanced Radar Signal Denoising and Interference Mitigation

29 Apr 2021

Our experiments show, that the use of CVCNNs increases data efficiency, speeds up network training and substantially improves the conservation of phase information during interference removal.

AUTONOMOUS DRIVING DENOISING

Assessing the Impact of Deep Neural Network-based Image Denoising on Binary Signal Detection Tasks

28 Apr 2021

The performance of the ideal observer (IO) and common linear numerical observers are quantified and detection efficiencies are computed to assess the impact of the denoising operation on task performance.

IMAGE DENOISING

SE-DAE: Style-Enhanced Denoising Auto-Encoder for Unsupervised Text Style Transfer

27 Apr 2021

Moreover, to alleviate the conflict between the targets of the conventional denoising procedure and the style transfer task, we propose another novel style denoising mechanism, which is more compatible with the target of the style transfer task.

DENOISING STYLE TRANSFER TEXT STYLE TRANSFER UNSUPERVISED TEXT STYLE TRANSFER

Multi-Cycle-Consistent Adversarial Networks for Edge Denoising of Computed Tomography Images

25 Apr 2021

As one of the most commonly ordered imaging tests, computed tomography (CT) scan comes with inevitable radiation exposure that increases the cancer risk to patients.

COMPUTED TOMOGRAPHY (CT) IMAGE DENOISING IMAGE-TO-IMAGE TRANSLATION

Frequency Domain Loss Function for Deep Exposure Correction of Dark Images

22 Apr 2021

We address the problem of exposure correction of dark, blurry and noisy images captured in low-light conditions in the wild.

IMAGE DENOISING

Decoding the shift-invariant data: applications for band-excitation scanning probe microscopy

20 Apr 2021

A shift-invariant variational autoencoder (shift-VAE) is developed as an unsupervised method for the analysis of spectral data in the presence of shifts along the parameter axis, disentangling the physically-relevant shifts from other latent variables.

DENOISING DIMENSIONALITY REDUCTION