3 citations · 5 across the 5 of their papers we have counts for
3 papers · 1 filter
Gyroscope-Aided Motion Deblurring with Deep Networks
Janne Mustaniemi, Juho Kannala, Simo Särkkä +2
We propose a deblurring method that incorporates gyroscope measurements into a convolutional neural network (CNN). With the help of such measurements, it can handle extremely stron…
LSD -- Joint Denoising and Deblurring of Short and Long Exposure Images with CNNs
Janne Mustaniemi, Juho Kannala, Jiri Matas +2
The paper addresses the problem of acquiring high-quality photographs with handheld smartphone cameras in low-light imaging conditions. We propose an approach based on capturing pa…
Fast Motion Deblurring for Feature Detection and Matching Using Inertial Measurements
Janne Mustaniemi, Juho Kannala, Simo Särkkä +2
Many computer vision and image processing applications rely on local features. It is well-known that motion blur decreases the performance of traditional feature detectors and desc…