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Noise reduction

Noise reduction is the process of removing noise from a signal.

All signal processing devices, both analog and digital, have traits that make them susceptible to noise. Noise can be random or white noise with an even frequency distribution, or frequency dependent noise introduced by a device's mechanism or signal processing algorithms.

Audio

Image

Denoising Light

Removing Motion Blur

영상의 잔상(모션 블러)를 제거하는 방법에 대한 내용.

From Motion Blur to Motion Flow - a Deep Learning Solution for Removing Heterogeneous Motion Blur
https://donggong1.github.io/blur2mflow
https://github.com/donggong1/motion-flow-syn
Gong_From_Motion_Blur_CVPR_2017_paper.pdf
Motion Deblurring in the Wild
https://arxiv.org/abs/1701.01486
1701.01486.pdf

Removing lamp light

자동차 헤드 라이트(빛)를 제거하는 방법에 대한 내용.

An Effective Method of Head lamp and Tail Lamp Recognition for Night Time Vehicle Detection
https://waset.org/publications/8270/an-effective-method-of-head-lamp-and-tail-lamp-recognition-for-night-time-vehicle-detection
An-Effective-Method-of-Head-Lamp-and-Tail-Lamp-Recognition-for-Night-Time-Vehicle-Detection.pdf
Vehicle Detection under Day and Night Illumination
http://imagelab.ing.unimore.it/imagelab/pubblicazioni/iia1999.pdf
Car Type Recognition with Deep Neural Networks
https://arxiv.org/pdf/1602.07125.pdf

Remove Noise

노이즈 제거 방법.

Noise2Noise - Learning Image Restoration without Clean Data
https://arxiv.org/pdf/1803.04189.pdf
1803.04189.pdf
https://news.developer.nvidia.com/ai-can-now-fix-your-grainy-photos-by-only-looking-at-grainy-photos/

Remove Object

https://github.com/VPanjeta/Deep-Object-Removal
Image completion is a challenging problem because it requires a high-level recognition of scenes. This project tries to achieve object removal from images and get the base image reconstructed based on surrounding colours and objects using conditional GANs.
https://github.com/VPanjeta/Deep-Object-Removal

Remove Reflection

Single Image Reflection Separation with Perceptual Losses
https://github.com/ceciliavision/perceptual-reflection-removal
https://arxiv.org/abs/1806.05376

See also

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