Restoration of Fast Moving Objects

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F20%3A00533754" target="_blank" >RIV/67985556:_____/20:00533754 - isvavai.cz</a>

Alternative codes found

RIV/68407700:21230/20:00343010

Result on the web

<a href="https://ieeexplore.ieee.org/document/9171560" target="_blank" >https://ieeexplore.ieee.org/document/9171560</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TIP.2020.3016490" target="_blank" >10.1109/TIP.2020.3016490</a>

Result language

angličtina

Original language name

Restoration of Fast Moving Objects

Original language description

We have proposed a method for restoration of fast moving objects from a single image. If an object is photographed at motion in front of a static background, the object will be blurred while the background sharp and partially occluded by the object. The goal is to recover the object appearance from such blurred image. We adopt the image formation model for fast moving objects and consider objects undergoing 2D translation and rotation. For this scenario we formulate the estimation of the object shape, appearance, and motion from a single image and known background as a constrained optimization problem with appropriate regularization terms. Both similarities and differences with blind deconvolution are discussed with the latter caused mainly by the coupling of the object appearance and shape in the acquisition model. Necessary conditions for solution uniqueness are derived and a numerical solution based on the alternating direction method of multipliers is presented. The proposed method is evaluated on a new dataset.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

20206 - Computer hardware and architecture

Project

<a href="/en/project/GA18-05360S" target="_blank" >GA18-05360S: Solving inverse problems for the analysis of fast moving objects</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2020

Confidentiality

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

Name of the periodical

IEEE Transactions on Image Processing

ISSN

1057-7149

e-ISSN

—

Volume of the periodical

29

Issue of the periodical within the volume

1

Country of publishing house

US - UNITED STATES

Number of pages

13

Pages from-to

8577-8589

UT code for WoS article

000564245800004

EID of the result in the Scopus database

2-s2.0-85090867037