Image Restoration in Portable Devices: Algorithms and Optimization
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F19%3A00499581" target="_blank" >RIV/67985556:_____/19:00499581 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/article/10.1007%2Fs11265-018-1410-7" target="_blank" >https://link.springer.com/article/10.1007%2Fs11265-018-1410-7</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s11265-018-1410-7" target="_blank" >10.1007/s11265-018-1410-7</a>
Alternative languages
Result language
angličtina
Original language name
Image Restoration in Portable Devices: Algorithms and Optimization
Original language description
Image and video data acquired by portable devices such as mobile phones are degraded by noise and blur due to the small size of optical sensors in these devices. A wide range of image restoration methods exists, yet feasibility of these methods in portable platforms is not guaranteed due to limited hardware resources on such platforms. The paper addresses this problem by focusing on denoising algorithms. We have chosen two representatives of denoising methods with state-of-the-art performance, and propose different parallel implementations and algorithmic simplifications suitable for mobile phones. In addition, an extension to resolution enhancement is presented including both visual and quantitative comparisons. Analysis of the algorithms is carried out with respect to the computation time, power consumption and output image quality.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
20205 - Automation and control systems
Result continuities
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
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Signal Processing Systems for Signal Image and Video Technology
ISSN
1939-8018
e-ISSN
—
Volume of the periodical
91
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
12
Pages from-to
9-20
UT code for WoS article
000455335500002
EID of the result in the Scopus database
2-s2.0-85055995600