Results 121 to 130 of about 946,624 (201)
Motion Deblurring for Optical Character Recognition
, 2008 This paper investigates the problem of blurring caused by motion during image capture of text documents. Motion blurring prevents proper optical character recognition of the document text contents.
Chew Lim Tan, Xing Yu Qi, Li Zhang
core
Event-based Motion Deblurring via Multi-Temporal Granularity Fusion [PDF]
Conventional frame-based cameras inevitably produce blurry effects due to motion occurring during the exposure time. Event camera, a bio-inspired sensor offering continuous visual information could enhance the deblurring performance.
Lin, Xiaopeng +7 more
core
Motion streak facilitates motion deblurring
Journal of Vision, 2022 Seonggyu Choe +3 more
openaire +1 more source
Complementary Sets of Shutter Sequences for Motion Deblurring
, 2015 In this paper, we present a novel multi-image motion deblurring method utilizing the coded exposure technique. The key idea of our work is to capture video frames with a set of complementary fluttering patterns to preserve spatial frequency details.
Lee, Joon-Young +9 more
core +1 more source
Motion Deblurring via Spatial-Temporal Collaboration of Frames and Events
Motion deblurring can be advanced by exploiting informative features from supplementary sensors such as event cameras, which can capture rich motion information asynchronously with high temporal resolution.
Ma, Jupo +4 more
core +1 more source
Image Motion Deblurring with Multi-regularization Constraints
工程科学与技术, 2017 :In order to overcome the ill-posedness of image motion deblurring,the existing algorithms usually introduce regularization constraints to narrow the solution space.However,a single regularization constraint may not be helpful to estimate the point ...
FU Ying, WU Xi, Zhou Jiliu
doaj
Motion-aware noise filtering for deblurring of noisy and blurry image
, 2012 Image noise can present a serious problem in motion deblurring. While most state-of-the-art motion deblurring algorithms can deal with small levels of noise, in many cases such as low-light imaging, the noise is large enough in the blurred image that it ...
Tai, Yu-Wing, Stephen Lin
core
DeblurSR: Event-Based Motion Deblurring under the Spiking Representation
We present DeblurSR, a novel motion deblurring approach that converts a blurry image into a sharp video. DeblurSR utilizes event data to compensate for motion ambiguities and exploits the spiking representation to parameterize the sharp output video as a
Song, Chen +2 more
core +1 more source
IMU-aided adaptive mesh-grid based video motion deblurring. [PDF]
PeerJ Comput SciArslan A, Gultekin GK, Saranli A.
europepmc +1 more source
Kernel estimation for robust motion deblurring of noisy and blurry images
, 2016 Most state-of-the-art single image blind deblurring techniques are still sensitive to image noise, leading to serious performance degradation in their blur kernel estimation when the input image noise increases.
Lv JF(吕进锋) +4 more
core