LSD_2 - Joint Denoising and Deblurring of Short and Long Exposure Images with CNNs

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F20%3A00346882" target="_blank" >RIV/68407700:21230/20:00346882 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.bmvc2020-conference.com/assets/papers/0725.pdf" target="_blank" >https://www.bmvc2020-conference.com/assets/papers/0725.pdf</a>

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

LSD_2 - Joint Denoising and Deblurring of Short and Long Exposure Images with CNNs

Popis výsledku v původním jazyce

The paper addresses the problem of acquiring high-quality photographs with hand-held smartphone cameras in low-light imaging conditions. We propose an approachbased on capturing pairs of short and long exposure images in rapid succession andfusing them into a single high-quality photograph. Unlike existing methods, we takeadvantage of both images simultaneously and perform a joint denoising and deblurringusing a convolutional neural network. A novel approach is introduced to generate real-istic short-long exposure image pairs. The method produces good images in extremelychallenging conditions and outperforms existing denoising and deblurring methods. Italso enables exposure fusion in the presence of motion blur.

Název v anglickém jazyce

LSD_2 - Joint Denoising and Deblurring of Short and Long Exposure Images with CNNs

Popis výsledku anglicky

The paper addresses the problem of acquiring high-quality photographs with hand-held smartphone cameras in low-light imaging conditions. We propose an approachbased on capturing pairs of short and long exposure images in rapid succession andfusing them into a single high-quality photograph. Unlike existing methods, we takeadvantage of both images simultaneously and perform a joint denoising and deblurringusing a convolutional neural network. A novel approach is introduced to generate real-istic short-long exposure image pairs. The method produces good images in extremelychallenging conditions and outperforms existing denoising and deblurring methods. Italso enables exposure fusion in the presence of motion blur.

Druh

O - Ostatní výsledky

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/EF16_019%2F0000765" target="_blank" >EF16_019/0000765: Výzkumné centrum informatiky</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů