Implementation of BM3D filter on intel xeon phi for rendering in blender cycles
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F18%3A10240535" target="_blank" >RIV/61989100:27740/18:10240535 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-3-319-97136-0_8" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-319-97136-0_8</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-97136-0_8" target="_blank" >10.1007/978-3-319-97136-0_8</a>
Alternative languages
Result language
angličtina
Original language name
Implementation of BM3D filter on intel xeon phi for rendering in blender cycles
Original language description
In this paper parallel implementation of Sparse 3D Transform-Domain Collaborative filter (BM3D) on the Intel Xeon Phi architecture is presented. Efficiency of the implementation in terms of speedup compared to serial implementation of the filter is demonstrated on denoising of rendered images. We also provide comparison with another parallel CPU version and show that ours performs better. Using the state-of-the-art image filters such as BM3D offers powerful denoising capability in the area of image filtering. To achieve the highest possible quality of the result, the filter has to perform multiple demanding tasks over a single image. Effective implementation of the filter is therefore very important. This is also the case, when filtering is used for image rendering. Rendering times can be significantly decreased by application of powerful time efficient denoising filters. Unfortunately the existing serial implementation of the BM3D filter is time consuming. In this paper we provide efficient parallel implementation of the BM3D filter, and we apply it as a noise reduction technique to the rendered images that reduces the rendering times. We also provide an optimized version of the filter for the Intel Xeon Phi and Intel Xeon architecture.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/LM2015070" target="_blank" >LM2015070: IT4Innovations National Supercomputing Center</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 11087
ISBN
978-3-319-97135-3
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
14
Pages from-to
101-114
Publisher name
Springer
Place of publication
Cham
Event location
Karolinka
Event date
May 22, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—